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Gaussian processes for machine learning /
"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 an...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, Mass. :
MIT Press,
©2006.
|
| Colección: | Adaptive computation and machine learning.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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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. |
| 260 | |a Cambridge, Mass. : |b MIT Press, |c ©2006. | ||
| 300 | |a 1 online resource (xviii, 248 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file | ||
| 490 | 1 | |a Adaptive computation and machine learning | |
| 504 | |a Includes bibliographical references (pages 223-238) and indexes. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Regression -- Classification -- Covariance functions -- Model selection and adaptation of hyperparameters -- Relationships between GPs and other models -- Theoretical perspectives -- Approximation methods for large datasets -- Appendix A : Mathematical background -- Appendix B : Guassian Markov processes. | |
| 520 | 1 | |a "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."--Jacket | |
| 546 | |a English. | ||
| 506 | |a Limited Users and Download Restrictions may Apply, ProQuest 1 User Licence. Available using University of Exeter Username and Password. |5 GB-UKExU | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Gaussian processes |x Data processing. | |
| 650 | 0 | |a Machine learning |x Mathematical models. | |
| 650 | 6 | |a Processus gaussiens |x Informatique. | |
| 650 | 6 | |a Apprentissage automatique |x Modèles mathématiques. | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x Stochastic Processes. |2 bisacsh | |
| 650 | 7 | |a Gaussian processes |x Data processing |2 fast | |
| 650 | 7 | |a Machine learning |x Mathematical models |2 fast | |
| 650 | 7 | |a Gauß-Prozess |2 gnd | |
| 650 | 7 | |a Maschinelles Lernen |2 gnd | |
| 653 | |a COMPUTER SCIENCE/Machine Learning & Neural Networks | ||
| 653 | 0 | 0 | |a neurale netwerken |
| 653 | 0 | 0 | |a neural networks |
| 653 | 0 | 0 | |a statistiek |
| 653 | 0 | 0 | |a statistics |
| 653 | 0 | 0 | |a gegevensverwerking |
| 653 | 0 | 0 | |a data processing |
| 653 | 0 | 0 | |a patroonherkenning |
| 653 | 0 | 0 | |a pattern recognition |
| 653 | 0 | 0 | |a kunstmatige intelligentie |
| 653 | 0 | 0 | |a artificial intelligence |
| 653 | 1 | 0 | |a Information and Communication Technology (General) |
| 653 | 1 | 0 | |a Informatie- en communicatietechnologie (algemeen) |
| 700 | 1 | |a Williams, Christopher K. I. | |
| 758 | |i has work: |a Gaussian processes for machine learning (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFMJD3tX3kmh4JPM99wxcK |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Rasmussen, Carl Edward. |t Gaussian processes for machine learning. |d Cambridge, Mass. : MIT Press, ©2006 |z 026218253X |w (DLC) 2005053433 |w (OCoLC)61285753 |
| 830 | 0 | |a Adaptive computation and machine learning. | |
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