Introduction to Machine Learning - Table of Contents

October 2004
7 x 9, 445 pp., 135 illus.
$54.00/£39.95 (CLOTH)
Short

ISBN-10:
0-262-01211-1
ISBN-13:
978-0-262-01211-9

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Introduction to Machine Learning
Ethem Alpaydin

	Series Foreword Sample Chapter - Download PDF (25 KB)	xiii

	Figures	xv

	Tables	xxiii

	Preface Sample Chapter - Download PDF (71 KB)	xxv

	Acknowledgments	xxvii

	Notations	xxix

1	Introduction Sample Chapter - Download PDF (299 KB)	1

2	Supervised Learning	17

3	Bayesian Decision Theory	39

4	Parametric Methods	61

5	Multivariate Methods	85

6	Dimensionality Reduction	105

7	Clustering	133

8	Nonparametric Methods	153

9	Decision Trees	173

10	Linear Discrimination	197

11	Multilayer Perceptrons	229

12	Local Models	275

13	Hidden Markov Models	305

14	Assessing and Comparing Classification Algorithms	327

15	Combining Multiple Learners	351

16	Reinforcement Learning	373

	Appendix: Probability	397

	Index Sample Chapter - Download PDF (91 KB)	409

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