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Record Nr. |
UNINA9910666795503321 |
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Autore |
Rasmussen Carl Edward |
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Titolo |
Gaussian processes for machine learning / / Carl Edward Rasmussen, Christopher K.I. Williams |
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Pubbl/distr/stampa |
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Cambridge, Mass., : MIT Press, c2006 |
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ISBN |
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0-262-26107-3 |
9786612097966 |
1-4237-6990-2 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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Collana |
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Adaptive computation and machine learning |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Gaussian processes - Data processing |
Machine learning - Mathematical models |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references (p. [223]-238) and indexes. |
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Nota di contenuto |
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Intro -- Series Foreword -- Preface -- Symbols and Notation -- Chapter 1 Introduction -- Chapter 2 Regression -- Chapter 3 Classification -- Chapter 4 Covariance functions -- Chapter 5 Model Selection and Adaptation of Hyperparameters -- Chapter 6 Relationships between GPs and Other Models -- Chapter 7 Theoretical Perspectives -- Chapter 8 Approximation Methods for Large Datasets -- Chapter 9 Further Issues and Conclusions -- Appendix A Mathematical Background -- Appendix B Gaussian Markov Processes -- Appendix C Datasets and Code -- Bibliography -- Author Index -- Subject Index. |
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Sommario/riassunto |
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A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. |
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