Gaussian processes for machine learning / / Carl Edward Rasmussen, Christopher K.I. Williams.
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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Superior document: | Adaptive computation and machine learning |
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TeilnehmendeR: | |
Year of Publication: | 2006 |
Edition: | 1st ed. |
Language: | English |
Series: | Adaptive computation and machine learning.
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Physical Description: | xviii, 248 p. :; ill. |
Notes: | Title from title screen. |
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100 | 1 | |a Rasmussen, Carl Edward. | |
245 | 1 | 0 | |a Gaussian processes for machine learning / |c Carl Edward Rasmussen, Christopher K.I. Williams. |
250 | |a 1st ed. | ||
256 | |a Computer document. | ||
260 | |a Cambridge, Mass. : |b MIT Press, |c cop. 2006. | ||
300 | |a xviii, 248 p. : |b ill. | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
490 | 1 | |a Adaptive computation and machine learning | |
500 | |a Title from title screen. | ||
516 | |a Text. | ||
550 | |a Digitized and made available by: Books24x7.com. | ||
530 | |a Available also in a print ed. | ||
504 | |a Includes bibliographical references (p. [223]-238) and indexes. | ||
520 | |a A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. | ||
505 | 0 | |a 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. | |
650 | 7 | |a Aprenentatge automàtic |x Models matemàtics |2 lemac | |
650 | 7 | |a Processos gaussians |x Informàtica |2 lemac | |
650 | 0 | |a Gaussian processes |x Data processing. | |
650 | 0 | |a Machine learning |x Mathematical models. | |
700 | 1 | |a Williams, Christopher K. I. | |
776 | |z 0-262-18253-X | ||
830 | 0 | |a Adaptive computation and machine learning. | |
906 | |a BOOK | ||
ADM | |b 2024-06-03 00:32:19 Europe/Vienna |d 00 |f system |c marc21 |a 2012-02-26 02:12:28 Europe/Vienna |g false | ||
AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338359640004498&Force_direct=true |Z 5338359640004498 |b Available |8 5338359640004498 |