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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| Summary: | 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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| Bibliography: | Includes bibliographical references (p. [223]-238) and indexes. |
| ISBN: | 0262261073 9786612097966 1423769902 |
| Hierarchical level: | Monograph |
| Statement of Responsibility: | Carl Edward Rasmussen, Christopher K.I. Williams. |