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NIPS
2003
14 years 11 months ago
Design of Experiments via Information Theory
We discuss an idea for collecting data in a relatively efficient manner. Our point of view is Bayesian and information-theoretic: on any given trial, we want to adaptively choose...
Liam Paninski
CIKM
1997
Springer
15 years 2 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
ICMCS
2000
IEEE
68views Multimedia» more  ICMCS 2000»
15 years 2 months ago
Selective Signal Cancellation for Multiple-Listener Audio Applications: An Information Theory Approach
Selectively canceling signals at specific locations within an acoustical environment with multiple listeners is of significant importance for home theater, teleconferencing, of...
Sunil Bharitkar, Chris Kyriakakis
CSB
2005
IEEE
126views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Identifying Simple Discriminatory Gene Vectors with an Information Theory Approach
In the feature selection of cancer classification problems, many existing methods consider genes individually by choosing the top genes which have the most significant signal-to...
Zheng Yun, Kwoh Chee Keong
ICIP
2002
IEEE
15 years 11 months ago
Nonparametric methods for image segmentation using information theory and curve evolution
In this paper, we present a novel information theoretic approach to image segmentation. We cast the segmentation problem as the maximization of the mutual information between the ...
Alan S. Willsky, Anthony J. Yezzi Jr., John W. Fis...