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Gaussian processes for machine learning
A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
The MIT Press
2006
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2307304 |
| _version_ | 1780957627388264448 |
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| author | Rasmussen, Carl Edward Williams, Christopher K I |
| author_facet | Rasmussen, Carl Edward Williams, Christopher K I |
| author_sort | Rasmussen, Carl Edward |
| collection | CERN |
| description | A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. |
| id | cern-2307304 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2006 |
| publisher | The MIT Press |
| record_format | invenio |
| spelling | cern-23073042021-04-21T18:53:42Zhttp://cds.cern.ch/record/2307304engRasmussen, Carl EdwardWilliams, Christopher K IGaussian processes for machine learningComputing and ComputersA comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.The MIT Pressoai:cds.cern.ch:23073042006 |
| spellingShingle | Computing and Computers Rasmussen, Carl Edward Williams, Christopher K I Gaussian processes for machine learning |
| title | Gaussian processes for machine learning |
| title_full | Gaussian processes for machine learning |
| title_fullStr | Gaussian processes for machine learning |
| title_full_unstemmed | Gaussian processes for machine learning |
| title_short | Gaussian processes for machine learning |
| title_sort | gaussian processes for machine learning |
| topic | Computing and Computers |
| url | http://cds.cern.ch/record/2307304 |
| work_keys_str_mv | AT rasmussencarledward gaussianprocessesformachinelearning AT williamschristopherki gaussianprocessesformachinelearning |