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25701nam a2204993 i 4500 |
| 001 - CONTROL NUMBER |
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15512507 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
KOHA |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20220317092112.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
220303s2009 nyua b 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780387848570 |
| Qualifying information |
(hardback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780387848587 |
| Qualifying information |
(e-Book) |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| International Standard Serial Number |
0172-7397 |
| Qualifying information |
(hardback) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Transcribing agency |
DLC |
| Modifying agency |
DLC |
| -- |
TR-IsMEF |
| Description conventions |
rda |
| 041 0# - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q325.5 |
| Item number |
.H39 2009 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Hastie, Trevor, |
| Relator term |
author. |
| 245 14 - TITLE STATEMENT |
|---|
| Title |
The elements of statistical learning : |
| Remainder of title |
data mining, inference, and prediction / |
| Statement of responsibility, etc. |
Trevor Hastie, Robert Tibshirani, Jerome Friedman. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
Second edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
New York, NY : |
| Name of producer, publisher, distributor, manufacturer |
Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2009. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxii, 745 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
25 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Source |
rdacarrier |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Springer Series in Statistics. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references (pages 699-727) and index (pages 729-737). |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
1. Introduction. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
2. Overwiew of supervised learning. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
3. Linear methods for regression. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
4. Linear methods for classification. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
5. Basis expansions and regularization. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
6. Kernel smoothing methods. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
7. Model assessment and selection. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
8. Model inference and averaging. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
9. Additive models, trees and related methods. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
10. Boosting and additive trees.. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
11. Neural networks. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
12. Support vector machines and flexible discriminants. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
13. Prototype methods and nearest- neighboors. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
14. Unsupervised learning. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
15. Random forests. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
16. Ensemble learning. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
17. Undirected grephical models. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
18. High- dimensional problems. |
| 520 0# - SUMMARY, ETC. |
|---|
| Summary, etc |
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book.<br/><br/>This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression and path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for ``wide'' data (p bigger than n), including multiple testing and false discovery rates.<br/><br/>Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting. |
| Uniform Resource Identifier |
<a href="https://link.springer.com/book/10.1007/978-0-387-21606-5#about">https://link.springer.com/book/10.1007/978-0-387-21606-5#about</a> |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Statistics |
| General subdivision |
Methodology |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data mining |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Bioinformatics |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Inference |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Forecasting |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computational intelligence |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Tibshirani, Robert, |
| Relator term |
author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Friedman, Jerome, |
| Relator term |
author. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Springer Series in Statistics. |
| 900 ## - EQUIVALENCE OR CROSS-REFERENCE-PERSONAL NAME [LOCAL, CANADA] |
|---|
| Personal name |
MEF Üniversitesi Kütüphane katalog kayıtları RDA standartlarına uygun olarak üretilmektedir / MEF University Library Catalogue Records are Produced Compatible by RDA Rules |
| 910 ## - USER-OPTION DATA (OCLC) |
|---|
| User-option data |
Pandora |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Books |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Contents |
| 970 11 - REFERENCES |
|---|
| unimportant Title |
Preface to the First Edition, |
| Pages |
xi. |
| 970 11 - REFERENCES |
|---|
| Title of a work |
Preface to the Second Edition, |
| Pages |
vii. |
| 970 12 - REFERENCES |
|---|
| Chapters |
1, |
| Title of a work |
Introduction, |
| Pages |
1. |
| 970 12 - REFERENCES |
|---|
| Chapters |
2, |
| Title of a work |
Overview of Supervised Learning, |
| Pages |
9. |
| 970 11 - REFERENCES |
|---|
| Chapters |
2.1, |
| Title of a work |
Introduction, |
| Pages |
9. |
| 970 11 - REFERENCES |
|---|
| Chapters |
2.2, |
| Title of a work |
Variable Types and Terminology, |
| Pages |
9. |
| 970 11 - REFERENCES |
|---|
| Chapters |
2.3, |
| Title of a work |
Two Simple Approaches to Prediction : Least Squares and Nearest Neighbors, |
| Pages |
11. |
| 970 11 - REFERENCES |
|---|
| Chapters |
2.4, |
| Title of a work |
Statistical Decision Theory, |
| Pages |
18. |
| 970 11 - REFERENCES |
|---|
| Chapters |
2.5, |
| Title of a work |
Local Methods in High Dimensions, |
| Pages |
22. |
| 970 11 - REFERENCES |
|---|
| Chapters |
2.6, |
| Title of a work |
Statistical Models, Supervised Learning and Function Approximation, |
| Pages |
28. |
| 970 11 - REFERENCES |
|---|
| Chapters |
2.6.1, |
| Title of a work |
A Statistical Model for the Joint Distribution Pr (X.Y), |
| Pages |
28. |
| 970 11 - REFERENCES |
|---|
| Chapters |
2.6.2, |
| Title of a work |
Supervised Learning, |
| Pages |
29. |
| 970 11 - REFERENCES |
|---|
| Chapters |
2.6.3, |
| Title of a work |
Function Approximation, |
| Pages |
29. |
| 970 11 - REFERENCES |
|---|
| Chapters |
2.7, |
| Title of a work |
Structured Regression Models, |
| Pages |
32. |
| 970 11 - REFERENCES |
|---|
| Chapters |
2.7.1, |
| Title of a work |
Difficulty of the Problem, |
| Pages |
32. |
| 970 11 - REFERENCES |
|---|
| Chapters |
2.8, |
| Title of a work |
Classes of Restricted Estimators, |
| Pages |
33. |
| 970 11 - REFERENCES |
|---|
| Chapters |
2.8.1, |
| Title of a work |
Roughness Penalty and Bayesian Methods, |
| Pages |
34. |
| 970 11 - REFERENCES |
|---|
| Chapters |
2.8.2, |
| Title of a work |
Kernel Methods and Local Regression, |
| Pages |
34. |
| 970 11 - REFERENCES |
|---|
| Chapters |
2.8.3, |
| Title of a work |
Basis Functions and Dictionary Methods, |
| Pages |
35. |
| 970 11 - REFERENCES |
|---|
| Chapters |
2.9, |
| Title of a work |
Model Selection and the Bias-Variance Tradeoff, |
| Pages |
37. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Bibliographic Notes, |
| Pages |
39. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Exercises, |
| Pages |
39. |
| 970 12 - REFERENCES |
|---|
| Chapters |
3, |
| Title of a work |
Linear Methods for Regression, |
| Pages |
43. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.1, |
| Title of a work |
Introduction, |
| Pages |
43. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.2, |
| Title of a work |
Linear Regression Models and Least Squares, |
| Pages |
44. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.2.1, |
| Title of a work |
Example : Prostate Cancer, |
| Pages |
49. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.2.2, |
| Title of a work |
The Gauss - Markov Theorem, |
| Pages |
51. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.2.3, |
| Title of a work |
Multiple Regression from Simole Univariate Regression, |
| Pages |
52. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.2.4, |
| Title of a work |
Prostate Cancer Data Example (Continued), |
| Pages |
61. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.4, |
| Title of a work |
Shrinkage Methods, |
| Pages |
61. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.4, |
| Title of a work |
Shrinkage Methods, |
| Pages |
61. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.4.1, |
| Title of a work |
Ridge Regression, |
| Pages |
61. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.4.2, |
| Title of a work |
The Lasso, |
| Pages |
68. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.4.3, |
| Title of a work |
Discussion : Submset Selection, Ridge Regression and the Lasso, |
| Pages |
69. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.4.4, |
| Title of a work |
Least Angle Regression, |
| Pages |
73. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.5, |
| Title of a work |
Methods Using Derived Input Directions, |
| Pages |
79. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.5.1, |
| Title of a work |
Principal Compenents Regression, |
| Pages |
79. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.5.2, |
| Title of a work |
Partial Least Squares, |
| Pages |
80. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.6, |
| Title of a work |
Discussion : A Comparison of the Selection and Shrinkage Methods, |
| Pages |
82. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.7, |
| Title of a work |
Multiple Outcome Shrinkage and Selection, |
| Pages |
84. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.8, |
| Title of a work |
More on the Lasso and Related Path Algorithms, |
| Pages |
86. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.8.1, |
| Title of a work |
Incremental Forward Stagewise Regression, |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.8.2, |
| Title of a work |
Piecewise- Linear Path Algorithms, |
| Pages |
89. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.8.3, |
| Title of a work |
The Dantzig Selector, |
| Pages |
89. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.8.4, |
| Title of a work |
The Grouped Lasso, |
| Pages |
90. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.8.5, |
| Title of a work |
Further Properties of the Lasso, |
| Pages |
91. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.8.6, |
| Title of a work |
Pathwise Coordinate Optimization, |
| Pages |
92. |
| 970 11 - REFERENCES |
|---|
| Chapters |
3.9, |
| Title of a work |
Computational Considerations, |
| Pages |
93. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Bibliographic Notes, |
| Pages |
94. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Exercises, |
| Pages |
94. |
| 970 12 - REFERENCES |
|---|
| Chapters |
4, |
| Title of a work |
Linear Methods for Classification, |
| Pages |
101. |
| 970 11 - REFERENCES |
|---|
| Chapters |
4.1, |
| Title of a work |
Introduction, |
| Pages |
101. |
| 970 11 - REFERENCES |
|---|
| Chapters |
4.2, |
| Title of a work |
Linear Regression of an Indicator Matrix, |
| Pages |
103. |
| 970 11 - REFERENCES |
|---|
| Chapters |
4.3, |
| Title of a work |
Linear Discriminant Analysis, |
| Pages |
106. |
| 970 11 - REFERENCES |
|---|
| Chapters |
4.3.1, |
| Title of a work |
Regularized Discriminant Analysis, |
| Pages |
112. |
| 970 11 - REFERENCES |
|---|
| Chapters |
4.3.2, |
| Title of a work |
Computations for LDA, |
| Pages |
113. |
| 970 11 - REFERENCES |
|---|
| Chapters |
4.3.3, |
| Title of a work |
Reduced- Rank Linear Discriminant Analysis, |
| Pages |
113. |
| 970 11 - REFERENCES |
|---|
| Chapters |
4.4, |
| Title of a work |
Logistic Regression, |
| Pages |
119. |
| 970 11 - REFERENCES |
|---|
| Chapters |
4.4.1, |
| Title of a work |
Fitting Logistic Regression Models, |
| unimportant Title |
120. |
| 970 11 - REFERENCES |
|---|
| Chapters |
4.4.2, |
| Title of a work |
Example : South African Heart Disease, |
| Pages |
122. |
| 970 11 - REFERENCES |
|---|
| Chapters |
4.4.3, |
| Title of a work |
Quadratic Approximations and Inference, |
| Pages |
124. |
| 970 11 - REFERENCES |
|---|
| Chapters |
4.4.4, |
| Title of a work |
L1 Regularized Logistic Regression, |
| unimportant Title |
125. |
| 970 11 - REFERENCES |
|---|
| Chapters |
4.4.5, |
| Title of a work |
Logistic Regression or LDA ? |
| Pages |
127. |
| 970 11 - REFERENCES |
|---|
| Chapters |
4.5, |
| Title of a work |
Separating Hyperplanes, |
| Pages |
129. |
| 970 11 - REFERENCES |
|---|
| Chapters |
4.5.1, |
| Title of a work |
Rosenblatt's Perceptron Learning Algorithm, |
| unimportant Title |
130. |
| 970 11 - REFERENCES |
|---|
| Chapters |
4.5.2, |
| Title of a work |
Optimal Separating Hyperplanes, |
| Pages |
132. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Bibliographic Notes, |
| Pages |
135. |
| 970 11 - REFERENCES |
|---|
| unimportant Title |
Exercises, |
| Pages |
135. |
| 970 12 - REFERENCES |
|---|
| Chapters |
5, |
| Title of a work |
Basis Expansions and Regularization, |
| Pages |
139. |
| 970 01 - REFERENCES |
|---|
| Chapters |
5.1, |
| unimportant Title |
Introduction, |
| Pages |
139. |
| 970 11 - REFERENCES |
|---|
| Chapters |
5.2, |
| Title of a work |
Piecewise Polynomials and Splines, |
| Pages |
141. |
| 970 11 - REFERENCES |
|---|
| Chapters |
5.2.1, |
| Title of a work |
Natural Cubic Splines, |
| Pages |
144. |
| 970 11 - REFERENCES |
|---|
| Chapters |
5.2.2, |
| Title of a work |
Example : South African Heart Disease (Continues), |
| Pages |
146. |
| 970 11 - REFERENCES |
|---|
| Chapters |
5.2.3, |
| Title of a work |
Example : Phoneme Recognition, |
| Pages |
148. |
| 970 11 - REFERENCES |
|---|
| Chapters |
5.4, |
| Title of a work |
Smoothing Splines, |
| Pages |
151. |
| 970 11 - REFERENCES |
|---|
| Chapters |
5.4.1, |
| Title of a work |
Degrees of Freedom and Smoother Matrices, |
| Pages |
153. |
| 970 11 - REFERENCES |
|---|
| Chapters |
5.5, |
| Title of a work |
Automatic Selection of the Smoothing Parameters, |
| Pages |
156. |
| 970 11 - REFERENCES |
|---|
| Chapters |
5.5.1, |
| Title of a work |
Fixing the Degrees of Freedom, |
| Pages |
158. |
| 970 11 - REFERENCES |
|---|
| Chapters |
5.5.2, |
| Title of a work |
The Bias- Variance Tradeoff, |
| Pages |
158. |
| 970 11 - REFERENCES |
|---|
| Chapters |
5.6, |
| Title of a work |
nonparametric Logistic Regresion, |
| Pages |
161. |
| 970 11 - REFERENCES |
|---|
| Chapters |
5.7, |
| Title of a work |
Multidimensional Splines, |
| Pages |
162. |
| 970 11 - REFERENCES |
|---|
| Chapters |
5.8, |
| Title of a work |
Regularization and Reproducing Kernel Hilbert Spaces, |
| Pages |
167. |
| 970 11 - REFERENCES |
|---|
| Chapters |
5.8.1, |
| Title of a work |
Spaces of Functions Generated by Kernels, |
| Pages |
168. |
| 970 11 - REFERENCES |
|---|
| Chapters |
5.8.2, |
| Title of a work |
Examples of RKHS, |
| Pages |
170. |
| 970 11 - REFERENCES |
|---|
| Chapters |
5.9, |
| Title of a work |
Wavelet Smoothing, |
| Pages |
174. |
| 970 11 - REFERENCES |
|---|
| Chapters |
5.9.1, |
| Title of a work |
Wavelet Bases and the Wavelet Transform, |
| Pages |
176. |
| 970 11 - REFERENCES |
|---|
| Chapters |
5.9.2, |
| Title of a work |
Adaptive Wavelet Filtering, |
| Pages |
179. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Bilbliographic Notes, |
| Pages |
181. |
| 970 11 - REFERENCES |
|---|
| Title of a work |
Exercises, |
| Pages |
181. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Appendix : Computational Considerations for Splines, |
| Pages |
186. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Appendix : B-splines, |
| Pages |
186. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Appendix : Computations for Smoothing Splines, |
| Pages |
189. |
| 970 12 - REFERENCES |
|---|
| Chapters |
6, |
| Title of a work |
Kernel Smoothing Methods, |
| Pages |
191. |
| 970 11 - REFERENCES |
|---|
| Chapters |
6.1, |
| Title of a work |
One- Dimen sional Kernel Smoothers, |
| Pages |
192. |
| 970 11 - REFERENCES |
|---|
| Chapters |
6.1.1, |
| Title of a work |
Local Linear Regression, |
| Pages |
194. |
| 970 11 - REFERENCES |
|---|
| Chapters |
6.2, |
| Title of a work |
Selecting the Width of the Kernel, |
| Pages |
198. |
| 970 11 - REFERENCES |
|---|
| Chapters |
6.3, |
| Title of a work |
Local Regression in IR, |
| Pages |
201. |
| 970 11 - REFERENCES |
|---|
| Chapters |
6.4, |
| Title of a work |
Structured Local Regression Models in IR, |
| Pages |
201. |
| 970 11 - REFERENCES |
|---|
| Chapters |
6.4.1, |
| Title of a work |
Structured Kernels, |
| Pages |
203. |
| 970 11 - REFERENCES |
|---|
| Chapters |
6.4.2, |
| Title of a work |
Structured Regression Functions, |
| Pages |
203. |
| 970 11 - REFERENCES |
|---|
| Chapters |
6.5, |
| Title of a work |
Local Likelihood and Other Models, |
| Pages |
205. |
| 970 11 - REFERENCES |
|---|
| Chapters |
6.6, |
| Title of a work |
Kernel Density Estimation and Classification, |
| Pages |
208. |
| 970 11 - REFERENCES |
|---|
| Chapters |
6.6.1, |
| Title of a work |
Kernel Density Estimation, |
| Pages |
208. |
| 970 11 - REFERENCES |
|---|
| Chapters |
6.6.2, |
| Title of a work |
Kernel Density Classification, |
| Pages |
210. |
| 970 11 - REFERENCES |
|---|
| Chapters |
6.6.3, |
| Title of a work |
The Naive Bayes Classifier, |
| Pages |
210. |
| 970 11 - REFERENCES |
|---|
| Chapters |
6.7, |
| Title of a work |
Radial Basis Functions and Kernels, |
| Pages |
212. |
| 970 11 - REFERENCES |
|---|
| Chapters |
6.8, |
| Title of a work |
Mixture Models for Density Estimation and Classification, |
| Pages |
214 |
| 970 11 - REFERENCES |
|---|
| Chapters |
6.9, |
| Title of a work |
Computational Considerations, |
| Pages |
216. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Bibliographic Notes, |
| Pages |
216. |
| 970 11 - REFERENCES |
|---|
| Title of a work |
Exercises, |
| Pages |
216. |
| 970 12 - REFERENCES |
|---|
| Chapters |
7, |
| Title of a work |
Model Assessment and Selection, |
| Pages |
219. |
| 970 01 - REFERENCES |
|---|
| Chapters |
7.1, |
| unimportant Title |
Introduction, |
| Pages |
219. |
| 970 11 - REFERENCES |
|---|
| Chapters |
7.2, |
| Title of a work |
Bias, Variance and Model Complexity, |
| Pages |
219. |
| 970 11 - REFERENCES |
|---|
| Chapters |
7.3, |
| Title of a work |
The Bias- Variance Decomposition, |
| Pages |
223. |
| 970 11 - REFERENCES |
|---|
| Chapters |
7.3.1, |
| Title of a work |
Example : Bias- Variance Tradeoff, |
| Pages |
226. |
| 970 11 - REFERENCES |
|---|
| Chapters |
7.4, |
| Title of a work |
Optimism of the Training Error Rate, |
| Pages |
228. |
| 970 11 - REFERENCES |
|---|
| Chapters |
7.5, |
| Title of a work |
Estimates of In-Sample Prediction Error, |
| Pages |
230. |
| 970 11 - REFERENCES |
|---|
| Chapters |
7.6, |
| Title of a work |
The Effective Number of Parameters, |
| Pages |
232. |
| 970 11 - REFERENCES |
|---|
| Chapters |
7.7, |
| Title of a work |
The Bayesian Approach and BIC, |
| Pages |
233. |
| 970 11 - REFERENCES |
|---|
| Chapters |
7.8, |
| Title of a work |
Minimum Description, |
| Pages |
235. |
| 970 11 - REFERENCES |
|---|
| Chapters |
7.9, |
| Title of a work |
Vapnik- Chervonenkis Dimension, |
| Pages |
237. |
| 970 11 - REFERENCES |
|---|
| Chapters |
7.9.1, |
| Title of a work |
Example (Continued), |
| Pages |
239. |
| 970 11 - REFERENCES |
|---|
| Chapters |
7.10, |
| Title of a work |
Cross- Validation, |
| Pages |
241. |
| 970 11 - REFERENCES |
|---|
| Chapters |
7.10.1, |
| Title of a work |
K- Fold Cross- Validation, |
| Pages |
241. |
| 970 11 - REFERENCES |
|---|
| Chapters |
7.10.2, |
| Title of a work |
The Wrong and Right Way to Do Cross- validation, |
| Pages |
245. |
| 970 11 - REFERENCES |
|---|
| Chapters |
7.10.3, |
| Title of a work |
Does Cross- Validation Really Work ?, |
| Pages |
247. |
| 970 11 - REFERENCES |
|---|
| Chapters |
7.11, |
| Title of a work |
Bootstrap Methods, |
| Pages |
249. |
| 970 11 - REFERENCES |
|---|
| Chapters |
7.11.1, |
| Title of a work |
Example (Continued) |
| Pages |
252. |
| 970 11 - REFERENCES |
|---|
| Chapters |
7.12, |
| Title of a work |
Conditional or Expected Test Error ?, |
| Pages |
254. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Bibliographic Notes, |
| Pages |
257. |
| 970 11 - REFERENCES |
|---|
| Title of a work |
Exercises, |
| Chapters |
257. |
| 970 11 - REFERENCES |
|---|
| Chapters |
8, |
| Title of a work |
Model Inference and Averaging, |
| Pages |
261. |
| 970 01 - REFERENCES |
|---|
| Chapters |
8.1, |
| unimportant Title |
Introduction, |
| Pages |
261. |
| 970 11 - REFERENCES |
|---|
| Chapters |
8.2, |
| Title of a work |
The Bootstrap and Maximum Likelihood Methods, |
| Pages |
261. |
| 970 11 - REFERENCES |
|---|
| Chapters |
8.2.1, |
| Title of a work |
A Smoothing Example, |
| Pages |
261. |
| 970 11 - REFERENCES |
|---|
| Chapters |
8.2.2, |
| Title of a work |
Maximum Likelihood Inference, |
| Pages |
265. |
| 970 11 - REFERENCES |
|---|
| Chapters |
8.2.3, |
| Title of a work |
Bootstrap versus Maximum Likelihood, |
| Pages |
267. |
| 970 11 - REFERENCES |
|---|
| Chapters |
8.3, |
| Title of a work |
Bayesian Methods, |
| Pages |
267. |
| 970 11 - REFERENCES |
|---|
| Chapters |
8.4, |
| Title of a work |
Relationship Between the Bootstrap and Bayesian Inference, |
| Pages |
271. |
| 970 11 - REFERENCES |
|---|
| Chapters |
8.5, |
| Title of a work |
The EM Algorithm, |
| Pages |
272. |
| 970 11 - REFERENCES |
|---|
| Chapters |
8.5.1, |
| Title of a work |
Two- Component Mixture Model, |
| Pages |
272. |
| 970 11 - REFERENCES |
|---|
| Chapters |
8.5.2, |
| Title of a work |
The EM Algorithm in General, |
| Pages |
276. |
| 970 11 - REFERENCES |
|---|
| Chapters |
8.5.3, |
| Title of a work |
EM as a Maximization- Maximization Procedure, |
| Pages |
277. |
| 970 11 - REFERENCES |
|---|
| Chapters |
8.6, |
| Title of a work |
MCMC for Sampling from the Posterior, |
| Pages |
279. |
| 970 11 - REFERENCES |
|---|
| Chapters |
8.7, |
| Title of a work |
Bagging, |
| 970 11 - REFERENCES |
|---|
| Chapters |
8.7.1, |
| Title of a work |
Example : Trees with Simulated Data, |
| Pages |
283. |
| 970 11 - REFERENCES |
|---|
| Chapters |
8.8, |
| Title of a work |
Model Averaging and Stacking, |
| Pages |
288. |
| 970 11 - REFERENCES |
|---|
| Chapters |
8.9, |
| Title of a work |
Stochastic Search : Bumping, |
| Pages |
290. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Bibliographic Notes, |
| Pages |
292. |
| 970 11 - REFERENCES |
|---|
| Title of a work |
Exercises, |
| Pages |
293. |
| 970 12 - REFERENCES |
|---|
| Chapters |
9, |
| Title of a work |
Additive Models, Trees, and Related Methods, |
| Pages |
295. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.1, |
| Title of a work |
Generalized Additive Models, |
| Pages |
295. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.1.1, |
| Title of a work |
Fitting Additive Models, |
| Pages |
297. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.1.2, |
| Title of a work |
Example : Additive Logistic Regression, |
| Pages |
299. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.1.3, |
| Title of a work |
Summary, |
| Pages |
304. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.2, |
| Title of a work |
Tree- Based Methods, |
| Pages |
305. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.2.1, |
| Title of a work |
Background, |
| Pages |
305. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.2.2, |
| Title of a work |
Regression Trees, |
| Pages |
307. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.2.3, |
| Title of a work |
Classification Trees, |
| Pages |
308. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.2.4, |
| Title of a work |
Other Issues, |
| Pages |
310. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.2.5, |
| Title of a work |
Spam Example (Continued) |
| Pages |
313. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.3, |
| Title of a work |
PRIM : Bump Hunting, |
| Pages |
317. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.3.1, |
| Title of a work |
Spam Example (Continued), |
| Pages |
320. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.4, |
| Title of a work |
MARS : Multivariate Adaptive Regression Splines, |
| Pages |
321. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.4.1, |
| Title of a work |
Spam Example (Continued), |
| Pages |
326. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.4.2, |
| Title of a work |
Example (Simulated Data), |
| Pages |
327. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.4.3, |
| Title of a work |
Other Issues, |
| Pages |
328. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.5, |
| Title of a work |
Hierarchical Mixtures of Experts, |
| Pages |
329. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.6, |
| Title of a work |
Missing Data, |
| Pages |
332. |
| 970 11 - REFERENCES |
|---|
| Chapters |
9.7, |
| Title of a work |
Computational Considerations, |
| Pages |
334. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Bibliographic Notes, |
| Pages |
334. |
| 970 11 - REFERENCES |
|---|
| Title of a work |
Exercises, |
| Pages |
335. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10, |
| Title of a work |
Boosting and Additive Trees, |
| Pages |
337. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.1, |
| Title of a work |
Boosting Methods, |
| Pages |
337. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.1.1, |
| Title of a work |
Outline of This Chapter, |
| Pages |
340. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.2, |
| Title of a work |
Boosting Fits an Additive Model, |
| Pages |
341. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.3, |
| Title of a work |
Forward Stagewise Additive Modeling, |
| Pages |
342. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.4, |
| Title of a work |
Exponential loss and AdaBoost, |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.5, |
| Title of a work |
Why Exponential Loss ?, |
| Pages |
345. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.6, |
| Title of a work |
Loss Functions and Robustness, |
| Pages |
346. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.7, |
| Title of a work |
"Off-the-Shelf" Procedures for Data Mining, |
| Pages |
350. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.8, |
| Title of a work |
Example : Spam Data, |
| Pages |
352. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.9, |
| Title of a work |
Boosting Trees, |
| Pages |
353. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.10, |
| Title of a work |
Numerical Optimization via Gradient Boosting, |
| Pages |
360. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.10.1, |
| Title of a work |
Steepest Descent, |
| Pages |
358. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.10.2, |
| Title of a work |
Gradient Boosting, |
| Pages |
359. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.10.3, |
| Title of a work |
Implementations of Gradient Boosting, |
| Pages |
360. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.11, |
| Title of a work |
Right- Sized Trees for Boosting, |
| Pages |
361. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.12, |
| Title of a work |
Regularization, |
| Pages |
364. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.12.1, |
| Title of a work |
Shrinkage, |
| Pages |
364. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.12.2, |
| Title of a work |
Subsampling, |
| Pages |
365. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.13, |
| Title of a work |
Interpretation, |
| Pages |
367. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.13.1, |
| Title of a work |
Relative Importance of Predictor Variables, |
| Pages |
367. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.13.2, |
| Title of a work |
Partial Dependence Plots, |
| Pages |
369. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.14, |
| Title of a work |
Illustrations, |
| Pages |
371. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.14.1, |
| Title of a work |
California Housing, |
| Pages |
371. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.14.2, |
| Title of a work |
New Zealand Fish, |
| Pages |
375. |
| 970 11 - REFERENCES |
|---|
| Chapters |
10.14.3, |
| Title of a work |
Demographics Data, |
| Pages |
379. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Bibliographics Notes, |
| Pages |
380. |
| 970 11 - REFERENCES |
|---|
| Title of a work |
Exercises, |
| Pages |
384. |
| 970 12 - REFERENCES |
|---|
| Chapters |
11, |
| Title of a work |
Neural Networks, |
| Pages |
389. |
| 970 01 - REFERENCES |
|---|
| Chapters |
11.1, |
| unimportant Title |
Introduction, |
| Pages |
389. |
| 970 11 - REFERENCES |
|---|
| Chapters |
11.2, |
| Title of a work |
Projection Pursuit Regression, |
| Pages |
389. |
| 970 11 - REFERENCES |
|---|
| Chapters |
11.3, |
| Title of a work |
Neural Networks, |
| Pages |
392. |
| 970 11 - REFERENCES |
|---|
| Chapters |
11.4, |
| Title of a work |
Fitting Neural Networks, |
| Pages |
395. |
| 970 11 - REFERENCES |
|---|
| Chapters |
11.5, |
| Title of a work |
Some Issues in Training Neural Networks, |
| Pages |
397. |
| 970 11 - REFERENCES |
|---|
| Chapters |
11.5.1, |
| Title of a work |
Starting Values, |
| Pages |
397. |
| 970 11 - REFERENCES |
|---|
| Chapters |
11.5.2, |
| Title of a work |
Overfitting, |
| Pages |
398. |
| 970 11 - REFERENCES |
|---|
| Chapters |
11.5.3, |
| Title of a work |
Scaling of the Inputs, |
| Pages |
398. |
| 970 11 - REFERENCES |
|---|
| Chapters |
11.5.4, |
| Title of a work |
Number of Hidden Units and Layers, |
| Pages |
400. |
| 970 11 - REFERENCES |
|---|
| Chapters |
11.5.5, |
| Title of a work |
Multiple Minima, |
| Pages |
400. |
| 970 11 - REFERENCES |
|---|
| Chapters |
11.6, |
| Title of a work |
Example : Simulated Data, |
| Pages |
401. |
| 970 11 - REFERENCES |
|---|
| Chapters |
11.7, |
| Title of a work |
Example : ZIP Code Data, |
| Pages |
404. |
| 970 11 - REFERENCES |
|---|
| Chapters |
11.8, |
| Title of a work |
Discussion, |
| Pages |
408. |
| 970 11 - REFERENCES |
|---|
| Chapters |
11.9, |
| Title of a work |
Bayesian Neural Nets and the NIPS 2003 Challenge, |
| Pages |
409. |
| 970 11 - REFERENCES |
|---|
| Chapters |
11.9.1, |
| Title of a work |
Bayes, Boosting and Bagging, |
| Pages |
410. |
| 970 11 - REFERENCES |
|---|
| Chapters |
11.9.2, |
| Title of a work |
Performance Comparisons, |
| Pages |
412. |
| 970 11 - REFERENCES |
|---|
| Chapters |
11.10, |
| Title of a work |
Computational Considerations, |
| Pages |
414. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Bibliographic Notes, |
| Pages |
415. |
| 970 11 - REFERENCES |
|---|
| Title of a work |
Exercises, |
| Pages |
415. |
| 970 12 - REFERENCES |
|---|
| Chapters |
12, |
| Title of a work |
Support Vector Machines and Flexible Discriminants, |
| Pages |
417. |
| 970 01 - REFERENCES |
|---|
| Chapters |
12.1, |
| unimportant Title |
Introduction, |
| Pages |
417. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.2, |
| Title of a work |
The Support Vector Classifier, |
| Pages |
417. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.2.1, |
| Title of a work |
Computing the Support Vector Classifier, |
| Pages |
420. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.2.2, |
| Title of a work |
Mixture Example (Continued), |
| Pages |
421. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.3, |
| Title of a work |
Support Vector Machines and Kernels, |
| Pages |
423. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.3.1, |
| Title of a work |
Computing the SVM for Classification, |
| Pages |
423. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.3.2, |
| Title of a work |
The SVM as a Penalization Method, |
| Pages |
426. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.3.3, |
| Title of a work |
Function Estimation and Reproducing Kernels, |
| Pages |
428. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.3.4, |
| Title of a work |
SVMs and the Curse of Dimensionality, |
| Pages |
431. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.3.5, |
| Title of a work |
A Path Algorithm for the SVM Classifier, |
| Pages |
432. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.3.6, |
| Title of a work |
Support Vector Machines for Regression, |
| Pages |
434. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.3.7, |
| Title of a work |
Regression and Kernels, |
| Pages |
436. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.3.8, |
| Title of a work |
Discussion, |
| Pages |
438. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.4, |
| Title of a work |
Generalizing Linear Discriminant Analysis, |
| Pages |
438. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.5, |
| Title of a work |
Flexible Discriminant Analysis, |
| Pages |
440. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.5.1, |
| Title of a work |
Computing the FDA Estimates, |
| Pages |
444. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.6, |
| Title of a work |
Penalized Discriminant Analysis, |
| Pages |
446. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.7, |
| Title of a work |
Mixture Discriminant Analysis, |
| Pages |
449. |
| 970 11 - REFERENCES |
|---|
| Chapters |
12.7.1, |
| Title of a work |
Example : Waveform Data, |
| Pages |
451. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Bibliographic Notes, |
| Pages |
455. |
| 970 11 - REFERENCES |
|---|
| Title of a work |
Exercises, |
| Pages |
455. |
| 970 12 - REFERENCES |
|---|
| Chapters |
13, |
| Title of a work |
Prototype Methods and Nearest- Neighbors, |
| Pages |
459. |
| 970 01 - REFERENCES |
|---|
| Chapters |
13.1, |
| unimportant Title |
Introduction, |
| Pages |
459. |
| 970 11 - REFERENCES |
|---|
| Chapters |
13.2, |
| Title of a work |
Prototype Methods, |
| Pages |
459. |
| 970 11 - REFERENCES |
|---|
| Chapters |
13.2.1, |
| Title of a work |
K-means Clustering, |
| Pages |
460. |
| 970 11 - REFERENCES |
|---|
| Chapters |
13.2.2, |
| Title of a work |
Learning Vector Quantization, |
| Pages |
462. |
| 970 11 - REFERENCES |
|---|
| Chapters |
13.2.3, |
| Title of a work |
Gaussian Mixtures, |
| Pages |
463. |
| 970 11 - REFERENCES |
|---|
| Chapters |
13.3, |
| Title of a work |
k-Nearest- Neighbor Classifiers, |
| Pages |
463. |
| 970 11 - REFERENCES |
|---|
| Chapters |
13.4, |
| Title of a work |
Adaptive Nearest- Neighbor Methods, |
| Pages |
475. |
| 970 11 - REFERENCES |
|---|
| Chapters |
13.4.1, |
| Title of a work |
Example, |
| Pages |
478. |
| 970 11 - REFERENCES |
|---|
| Chapters |
13.4.2, |
| Title of a work |
Global Dimension Reduction for Nearest- Neighbors, |
| Pages |
479. |
| 970 11 - REFERENCES |
|---|
| Chapters |
13.5, |
| Title of a work |
Computational Considerations, |
| Pages |
480. |
| 970 11 - REFERENCES |
|---|
| unimportant Title |
Bibliographic Notes, |
| Pages |
481. |
| 970 11 - REFERENCES |
|---|
| Title of a work |
Exercises, |
| Pages |
481. |
| 970 12 - REFERENCES |
|---|
| Chapters |
14, |
| Title of a work |
Unsupervised Learning, |
| Pages |
485. |
| 970 01 - REFERENCES |
|---|
| Chapters |
14.1, |
| unimportant Title |
Introduction, |
| Pages |
485. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.2, |
| Title of a work |
Assoociation Rules, |
| Pages |
487. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.2.1, |
| Title of a work |
Market Basket Analysis, |
| Pages |
488. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.2.2, |
| Title of a work |
The Apriori Algorithm, |
| Pages |
489. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.2.3, |
| Title of a work |
Example : Market Basket Analysis, |
| Pages |
492. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.2.4, |
| Title of a work |
Unsupervised as Supervised Learning, |
| Pages |
495. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.2.5, |
| Title of a work |
Generalized Association Rules, |
| Pages |
497. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.2.6, |
| Title of a work |
Choice of Supervised Learning Method, |
| Pages |
499. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.2.7, |
| Title of a work |
Example : Market Basket Analysis (Continued), |
| Pages |
499. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.3, |
| Title of a work |
Cluster Analysis, |
| Pages |
501. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.3.1, |
| Title of a work |
Proximity Matrices, |
| Pages |
503. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.3.2, |
| Title of a work |
Dissimilarities Based on Attributes, |
| Pages |
503. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.3.3, |
| Title of a work |
Object Dissimilarity, |
| Pages |
505. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.3.4, |
| Title of a work |
Clustering Algorithms, |
| Pages |
507. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.3.5, |
| Title of a work |
Combinatorial Algorithms, |
| Pages |
507. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.3.6, |
| Title of a work |
K- means, |
| Pages |
509. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.3.7, |
| Title of a work |
Gaussian Mixtures as Soft K-means Clustering, |
| Pages |
510. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.3.8, |
| Title of a work |
Example : Human Tumor Microarray Data, |
| Pages |
512. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.3.9, |
| Title of a work |
Vector Quantization, |
| Pages |
514. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.3.10, |
| Title of a work |
K- medoids, |
| Pages |
515. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.3.11, |
| Title of a work |
Practical Issues, |
| Pages |
518. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.3.12, |
| Title of a work |
Hierarchical Clustering, |
| Pages |
520. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.4, |
| Title of a work |
Self- Organizing Maps, |
| Pages |
528. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.5, |
| Title of a work |
Principal Components, Curves and Surfaces, |
| Pages |
534. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.5.1, |
| Title of a work |
Principal Components, |
| Pages |
534. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.5.2, |
| Title of a work |
Principal Curves and Surfaces, |
| Pages |
541. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.5.3, |
| Title of a work |
Spectral Clustering, |
| Pages |
544. |
| Chapters |
14.5.4, |
| Title of a work |
Kernel Principal Components, |
| Pages |
547. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.5.5, |
| Title of a work |
Sparse Principal Components, |
| Pages |
550. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.6, |
| Title of a work |
Non- negative Matrix Factorization, |
| Pages |
553. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.7, |
| Title of a work |
Independent Component Analysis and Exploratory Projection Pursuit, |
| Pages |
565. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.7.1, |
| Title of a work |
Latent Variables and Factor Analysis, |
| Pages |
558. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.7.2, |
| Title of a work |
Independent Component Analysis, |
| Pages |
560. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.7.3, |
| Title of a work |
Exploratory Projection Pursuit, |
| Pages |
565. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.7.4, |
| Title of a work |
A Direct Approach to ICA, |
| Pages |
565. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.8, |
| Title of a work |
Multidimensional Scaling, |
| Pages |
572. |
| 970 11 - REFERENCES |
|---|
| Chapters |
14.10, |
| Title of a work |
The Google PageRank Algorithm, |
| Pages |
576. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Bibliographic Notes, |
| Pages |
578. |
| 970 11 - REFERENCES |
|---|
| Title of a work |
Exercises, |
| Pages |
579. |
| 970 12 - REFERENCES |
|---|
| Chapters |
15, |
| Title of a work |
Random Forests, |
| Pages |
587. |
| 970 01 - REFERENCES |
|---|
| Chapters |
15.1, |
| unimportant Title |
Introduction, |
| Pages |
587. |
| 970 11 - REFERENCES |
|---|
| Chapters |
15.2, |
| Title of a work |
Details of Random Forests, |
| Pages |
587. |
| 970 11 - REFERENCES |
|---|
| Chapters |
15.3.1, |
| Title of a work |
Out of Bag Samples, |
| Pages |
592. |
| 970 11 - REFERENCES |
|---|
| Chapters |
15.3.2, |
| Title of a work |
Variable Importance, |
| Pages |
593. |
| 970 11 - REFERENCES |
|---|
| Chapters |
15.3.3, |
| Title of a work |
Proximity Plots, |
| Pages |
595. |
| 970 11 - REFERENCES |
|---|
| Chapters |
15.3.4, |
| Title of a work |
Random Forests and Overfitting, |
| Pages |
596. |
| 970 11 - REFERENCES |
|---|
| Chapters |
15.4, |
| Title of a work |
Analysis of Random Forests, |
| Pages |
597. |
| 970 11 - REFERENCES |
|---|
| Chapters |
15.4.1, |
| Title of a work |
Variance and the De-Correlation Effect, |
| Pages |
597. |
| 970 11 - REFERENCES |
|---|
| Chapters |
15.4.2, |
| Title of a work |
Bias, |
| Pages |
600. |
| 970 11 - REFERENCES |
|---|
| Chapters |
15.4.3, |
| Title of a work |
Adaptive Nearest Neighbors, |
| Pages |
601. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Bibliographic Notes, |
| Pages |
602. |
| 970 11 - REFERENCES |
|---|
| Title of a work |
Exercises, |
| Pages |
603. |
| 970 12 - REFERENCES |
|---|
| Chapters |
16, |
| Title of a work |
Ensemble Learning, |
| Pages |
605. |
| 970 11 - REFERENCES |
|---|
| Chapters |
16.1, |
| unimportant Title |
Introduction, |
| Pages |
605. |
| 970 11 - REFERENCES |
|---|
| Chapters |
16.2, |
| Title of a work |
Boosting and Regularization Paths, |
| Pages |
607. |
| 970 11 - REFERENCES |
|---|
| Chapters |
16.2.1, |
| Title of a work |
Penalized Regression, |
| Pages |
607. |
| 970 11 - REFERENCES |
|---|
| Chapters |
16.2.2, |
| Title of a work |
The "Bet on Sparsity" Principle, |
| Pages |
610. |
| 970 11 - REFERENCES |
|---|
| Chapters |
16.2.3, |
| Title of a work |
Regularization Paths, Over-fitting and Margins, |
| Pages |
613. |
| 970 11 - REFERENCES |
|---|
| Chapters |
16.3, |
| Title of a work |
Learning ensembles, |
| Pages |
616. |
| 970 11 - REFERENCES |
|---|
| Chapters |
16.3.1, |
| Title of a work |
Learning a Good Ensemble, |
| Pages |
617. |
| 970 11 - REFERENCES |
|---|
| Chapters |
16.3.2, |
| Title of a work |
Rule Ensembles, |
| Pages |
622. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Bibliographic Notes, |
| Chapters |
623. |
| 970 11 - REFERENCES |
|---|
| Title of a work |
Exercises, |
| Pages |
624. |
| 970 12 - REFERENCES |
|---|
| Chapters |
17, |
| Title of a work |
Undirected Graphical Models, |
| Pages |
625. |
| 970 01 - REFERENCES |
|---|
| Title of a work |
17.1, |
| unimportant Title |
Introduction, |
| Pages |
625. |
| 970 11 - REFERENCES |
|---|
| Chapters |
17.2, |
| Title of a work |
Markov Graphs and Their Properties, |
| Pages |
627. |
| 970 11 - REFERENCES |
|---|
| Chapters |
17.3, |
| Title of a work |
Undirected Graphical Models for Continuous Variables, |
| Pages |
630. |
| 970 11 - REFERENCES |
|---|
| Chapters |
17.3.1, |
| Title of a work |
Estimation of the Parameters when the Graph Structure is Known, |
| Pages |
631. |
| 970 11 - REFERENCES |
|---|
| Chapters |
17.3.2, |
| Title of a work |
Estimation of the Graph Structure, |
| Pages |
635. |
| 970 11 - REFERENCES |
|---|
| Chapters |
17.4, |
| Title of a work |
Undirected Graphical Models for Discrete Veriables, |
| Pages |
638. |
| 970 11 - REFERENCES |
|---|
| Chapters |
17.4.1, |
| Title of a work |
Estimation of the Parameters when the Graph Structure is Known, |
| Pages |
639. |
| 970 11 - REFERENCES |
|---|
| Chapters |
17.4.2, |
| Title of a work |
Hidden Nodes, |
| Pages |
641. |
| 970 11 - REFERENCES |
|---|
| Chapters |
17.4.3, |
| Title of a work |
Estimation of the Graph Structure, |
| Pages |
642. |
| 970 11 - REFERENCES |
|---|
| Chapters |
17.4.4, |
| Title of a work |
Restricted Boltzmann Machines, |
| Pages |
643. |
| 970 11 - REFERENCES |
|---|
| Title of a work |
Exercises, |
| Pages |
645. |
| 970 12 - REFERENCES |
|---|
| Chapters |
18, |
| Title of a work |
High- Dimensional Problems : p>N, |
| Pages |
649. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.1, |
| Title of a work |
When p is Much Bigger than N, |
| Pages |
649. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.2, |
| Title of a work |
Daigonal Linear Discriminant Analysis and Nearest Shrunken Centroids, |
| Pages |
651. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.3, |
| Title of a work |
Linear Classifiers with Quadratic Regularization, |
| Pages |
654. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.3.1, |
| Title of a work |
Regularized Discriminant Analysis, |
| Pages |
656. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.3.2, |
| Title of a work |
Logistic Regression with Quadratic Regularization, |
| Pages |
657. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.3.3, |
| Title of a work |
The Support Vector Classifier, |
| Pages |
657. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.3.4, |
| Title of a work |
Feature Selection, |
| Pages |
658. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.3.5, |
| Title of a work |
Computational Shortcuts When p>>N, |
| Pages |
659. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.4, |
| Title of a work |
Linear Classifiers with L1 Regularization, |
| Pages |
661. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.4.1, |
| Title of a work |
Application of Lasso to Protein Mass Spectroscopy, |
| Pages |
664. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.4.2, |
| Title of a work |
The Fused Lasso for Functional Data, |
| Pages |
666. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.5, |
| Title of a work |
Classification When Features are Unavailable, |
| Pages |
668. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.5.1, |
| Title of a work |
Example : String Kernels and Protein Classification, |
| Pages |
668. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.5.2, |
| Title of a work |
Classification and Other Models Using Inner- Product Kernels and Pairwise Distances, |
| Pages |
670. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.5.3, |
| Title of a work |
Example : Abstracts Classification, |
| Pages |
672. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.6, |
| Title of a work |
High- Dimensional Regression : Supervised Principal Components, |
| Pages |
674. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.6.1, |
| Title of a work |
Connection to Latent- Variable Modeling, |
| Pages |
678. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.6.2, |
| Title of a work |
Relationship with Partial Least Squares, |
| Pages |
680. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.6.3, |
| Title of a work |
Pre- Conditioning for Feature Selection, |
| Pages |
681. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.7, |
| Title of a work |
Feature Assessment and the Multiple- Testing Problem, |
| Pages |
683. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.7.1, |
| Title of a work |
The False Discvery Rate, |
| Pages |
687. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.7.2, |
| Title of a work |
Asymmetric Cutpoints and the SAM Procedure, |
| Pages |
690. |
| 970 11 - REFERENCES |
|---|
| Chapters |
18.7.3, |
| Title of a work |
A Bayesian Interpretation of the FDR, |
| Pages |
692. |
| 970 01 - REFERENCES |
|---|
| Chapters |
18.8, |
| unimportant Title |
Bibliographic Notes, |
| Pages |
693. |
| 970 11 - REFERENCES |
|---|
| Title of a work |
Exercises, |
| Pages |
694. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
References, |
| Pages |
699. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Author Index, |
| Pages |
729. |
| 970 01 - REFERENCES |
|---|
| unimportant Title |
Index, |
| Pages |
737. |