ESTIMATION OF DENSITY RATIO AND ITS APPLICATION TO DESIGN A MEASURE OF DEPENDENCE

被引：0

作者：

Seth, Sohan ^{[1
]}

Principe, Jose C. ^{[1
]}

机构：

[1] Univ Florida, Gainesville, FL 32611 USA

来源：

2009 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING | 2009年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we propose a new approach to estimate the ratio of two probability density functions. The proposed approach is inspired by the kernel based function approximation technique. We apply this estimator to derive an estimator of mutual information and show that this estimator can be successfully used to detect dependence between two random variables.

引用

页码：393 / 398

页数：6

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