Gaussian Processes for Machine Learning - Table of Contents

December 2005
8 x 10, 266 pp.
$36.00/£26.95 (CLOTH)
Short

ISBN-10:
0-262-18253-X
ISBN-13:
978-0-262-18253-9

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Check out the authors' own website for this book

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Gaussian Processes for Machine Learning
Carl Edward Rasmussen and Christopher K. I. Williams

	Series Foreword Sample Chapter - Download PDF (57 KB)	xi

	Preface Sample Chapter - Download PDF (118 KB)	xiii

	Symbols and Notation	xvii

1	Introduction Sample Chapter - Download PDF (364 KB)	1

2	Regression Sample Chapter - Download PDF (426 KB)	7

3	Classification	33

4	Covariance Functions	79

5	Model Selection and Adaptation of Hyperparameters	105

6	Relationships between GPs and Other Models	129

7	Theoretical Perspectives	151

8	Approximation Methods for Large Datasets Sample Chapter - Download PDF (319 KB)	171

9	Further Issues and Conclusions	189

Appendix A	Mathematical Background	199

Appendix B	Gaussian Markov Process	207

Appendix C	Datasets and Code	221

	Bibliography Sample Chapter - Download PDF (176 KB)	223

	Author Index Sample Chapter - Download PDF (60 KB)	239

	Subject Index Sample Chapter - Download PDF (97 KB)	245

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