Bayesian Kernel Methods

Aj Smola, B Scholkopf

Lecture Notes in Computer Science（2002）

Australian Natl Univ

被引用26|浏览0

摘要

Bayesian methods allow for a simple and intuitive representation of the function spaces used by kernel methods. This chapter describes the basic principles of Gaussian Processes, their implementation and their connection to other kernel-based Bayesian estimation methods, such as the Relevance Vector Machine.

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关键词

Bayesian method,kernel-based Bayesian estimation method,Gaussian Processes,Relevance Vector Machine,basic principle,function space,intuitive representation,kernel method,Bayesian kernel method

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