Tutorial on support vector regression

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Tutorial on support vector regression

Tutorial on support vector regression

Smola A.J., Schoelkopf B.

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In this tutorial we give an overview of the basic ideas underlying Support Vector (SV) machines for function estimation. Furthermore, we include a summary of currently used algorithms for training SV machines, covering both the quadratic (or convex) programming part and advanced methods for dealing with large datasets. Finally, we mention some modifications and extensions that have been applied to the standard SV algorithm, and discuss the aspect of regularization from a SV perspective.

카테고리:

Computers

년:

2003

언어:

english

페이지:

파일:

PDF, 365 KB

IPFS:

english, 2003

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