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简介

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) 8.7分

资源最后更新于 2020-09-27 15:05:48

作者:Carl Edward Rasmussen

出版社:The MIT Press

出版日期:2005-01

ISBN:9780262182539

文件格式: pdf

标签: 机器学习 GaussianProcess 高斯过程 MachineLearning 统计学习 Gaussian ML 人工智能

简介· · · · · ·

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 and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and sel...

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