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NIPS
2003
13 years 9 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
CHI
2011
ACM
12 years 11 months ago
Informing decisions: how people use online rating information to make choices
In this paper we investigate how people use online rating information to inform decision making. We examine whether a theory of searching for information to discriminate between a...
Stelios Lelis, Andrew Howes
CIKM
1997
Springer
13 years 11 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»
14 years 14 hour 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»
14 years 1 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