Gaussian processes for machine learning
Work detail
Gaussian processes (GPs) provide an approach to kernel-machine learning. This book provides a 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. (From the book's web site, http://www.gaussianprocess.org/gpml/ )
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Contributors
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- Open Author
Carl Edward Rasmussen
- Open Author
Christopher K. I. Williams
- Open Author
Francis Bach
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- Image source: Open LibraryGP
Gaussian processes for machine learning
- Image source: Open LibraryGP
Gaussian processes for machine learning
- GPGaussian Processes for Machine...Carl Edward Rasmussen, Christopher K. I. Williams
Gaussian Processes for Machine Learning
- GPGaussian Processes for Machine...Carl Edward Rasmussen, Christopher K. I. Williams
Gaussian Processes for Machine Learning
- GPGaussian Processes for Machine...Carl Edward Rasmussen, Christopher K. I. Williams, Francis Bach
Gaussian Processes for Machine Learning
- GPGaussian Processes for Machine...Carl Edward Rasmussen, Christopher K. I. Williams, Francis Bach
Gaussian Processes for Machine Learning