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Gaussian Processes for Machine Learning Book

Gaussian Processes for Machine Learning
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 , Gaussian Processes for Machine Learning has a rating of 2.5 stars
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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 , Gaussian Processes for Machine Learning
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  • Gaussian Processes for Machine Learning
  • Written by author Carl Edward Rasmussen
  • Published by MIT Press, December 2005
  • 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
  • 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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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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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 , Gaussian Processes for Machine Learning

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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 , Gaussian Processes for Machine Learning

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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 , Gaussian Processes for Machine Learning

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