Machine Learning with Squared-Loss Mutual Information

Machine Learning with Squared-Loss Mutual Information

Mutual information (MI) is useful for detecting statistical independence between random variables, and it has been successfully applied to solving various machine learning problems. Recently, an alternative to MI called squared-loss MI (SMI) was introduced. While ordinary MI is the Kullback&...

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Bibliographic Details
Main Author: Masashi Sugiyama
Format: Article
Language:English
Published: MDPI AG 2012-12-01
Series:Entropy
Subjects:
squared-loss mutual information
Pearson divergence
density-ratio estimation
independence testing
dimensionality reduction
independent component analysis
object matching
clustering
causal inference
machine learning
Online Access:http://www.mdpi.com/1099-4300/15/1/80

Internet

http://www.mdpi.com/1099-4300/15/1/80

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