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NAACL
2010
13 years 3 months ago
Unsupervised Model Adaptation using Information-Theoretic Criterion
In this paper we propose a novel general framework for unsupervised model adaptation. Our method is based on entropy which has been used previously as a regularizer in semi-superv...
Ariya Rastrow, Frederick Jelinek, Abhinav Sethy, B...
SMC
2007
IEEE
103views Control Systems» more  SMC 2007»
14 years 8 days ago
A new evaluation measure for information retrieval systems
Abstract— Some of the established approaches to evaluating text clustering algorithms for information retrieval show theoretical flaws. In this paper, we analyze these flaws an...
Martin Mehlitz, Christian Bauckhage, Jér&oc...
SEMWEB
2010
Springer
13 years 3 months ago
A Feature and Information Theoretic Framework for Semantic Similarity and Relatedness
Abstract. Semantic similarity and relatedness measures between ontology concepts are useful in many research areas. While similarity only considers subsumption relations to assess ...
Giuseppe Pirrò, Jérôme Euzenat
TCBB
2008
116views more  TCBB 2008»
13 years 6 months ago
Inferring Connectivity of Genetic Regulatory Networks Using Information-Theoretic Criteria
Recently, the concept of mutual information has been proposed for inferring the structure of genetic regulatory networks from gene expression profiling. After analyzing the limitat...
Wentao Zhao, Erchin Serpedin, Edward R. Dougherty
ML
2010
ACM
127views Machine Learning» more  ML 2010»
13 years 4 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby