Gaussian Processes for Machine Learning (Record no. 73956)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02765naaaa2200337uu 4500 |
| 001 - CONTROL NUMBER | |
| control field | https://directory.doabooks.org/handle/20.500.12854/77861 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220220074226.0 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | mitpress/3206.001.0001 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780262256834 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780262182539 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.7551/mitpress/3206.001.0001 |
| Terms of availability | doi |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | dc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UY |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQM |
| Source | bicssc |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Rasmussen, Carl Edward |
| Relationship | auth |
| 245 10 - TITLE STATEMENT | |
| Title | Gaussian Processes for Machine Learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Cambridge |
| Name of publisher, distributor, etc. | The MIT Press |
| Date of publication, distribution, etc. | 2005 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 electronic resource (272 p.) |
| 506 0# - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Open Access |
| Source of term | star |
| Standardized terminology for access restriction | Unrestricted online access |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes. |
| 540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE | |
| Terms governing use and reproduction | Creative Commons |
| Use and reproduction rights | by-nc-nd/4.0 |
| Source of term | cc |
| -- | http://creativecommons.org/licenses/by-nc-nd/4.0 |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer science |
| Source of heading or term | bicssc |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning |
| Source of heading or term | bicssc |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Computer science |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Artificial intelligence |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Williams, Christopher K. I. |
| Relationship | auth |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Host name | www.oapen.org |
| Uniform Resource Identifier | <a href="http://mitpress.mit.edu/9780262182539">http://mitpress.mit.edu/9780262182539</a> |
| Access status | 0 |
| Public note | DOAB: download the publication |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Host name | www.oapen.org |
| Uniform Resource Identifier | <a href="https://directory.doabooks.org/handle/20.500.12854/77861">https://directory.doabooks.org/handle/20.500.12854/77861</a> |
| Access status | 0 |
| Public note | DOAB: description of the publication |
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