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A framework for probability density estimation

Shawe-Taylor, J; Dolia, A; (2007) A framework for probability density estimation. In: Journal of Machine Learning Research. (pp. 468 - 475). Gold open access

Abstract

The paper introduces a new framework for learning probability density functions. A theoretical analysis suggests that we can tailor a distribution for a class of tasks by training it to fit a small subsample. Experimental evidence is given to support the theoretical analysis.

Type:Proceedings paper
Title:A framework for probability density estimation
Open access status:An open access publication
Publisher version:http://www.jmlr.org/
UCL classification:UCL > School of BEAMS > Faculty of Engineering Science > Computer Science

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