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Gaussian Processes for Machine Learning
Language: en
Pages: 266
Authors: Carl Edward Rasmussen
Categories: Computers
Type: BOOK - Published: 2005-11-23 - Publisher: MIT Press

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A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machi
Gaussian Processes for Machine Learning
Language: en
Pages:
Authors: Carl Edward Rasmussen
Categories: Gaussian processes
Type: BOOK - Published: 2006 - Publisher:

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"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the m
Advanced Lectures on Machine Learning
Language: en
Pages: 249
Authors: Olivier Bousquet
Categories: Computers
Type: BOOK - Published: 2011-03-22 - Publisher: Springer

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Machine Learning has become a key enabling technology for many engineering applications, investigating scientific questions and theoretical problems alike. To s
Efficient Reinforcement Learning Using Gaussian Processes
Language: en
Pages: 226
Authors: Marc Peter Deisenroth
Categories: Electronic computers. Computer science
Type: BOOK - Published: 2010 - Publisher: KIT Scientific Publishing

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This book examines Gaussian processes in both model-based reinforcement learning (RL) and inference in nonlinear dynamic systems.First, we introduce PILCO, a fu
Surrogates
Language: en
Pages: 560
Authors: Robert B. Gramacy
Categories: Mathematics
Type: BOOK - Published: 2020-03-10 - Publisher: CRC Press

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Computer simulation experiments are essential to modern scientific discovery, whether that be in physics, chemistry, biology, epidemiology, ecology, engineering