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117
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AI
2004
Springer
15 years 3 months ago
Updating beliefs with incomplete observations
Currently, there is renewed interest in the problem, raised by Shafer in 1985, of updating probabilities when observations are incomplete (or set-valued). This is a fundamental pro...
Gert de Cooman, Marco Zaffalon
140
Voted
APIN
2004
89views more  APIN 2004»
15 years 3 months ago
A Prototypical System for Soft Evidential Update
Autonomous agents that communicate using probabilistic information and use Bayesian networks for knowledge representation need an update mechanism that goes beyond conditioning on ...
Young-Gyun Kim, Marco Valtorta, Jirí Vomlel
141
Voted
IJCAI
1997
15 years 5 months ago
Object Identification in a Bayesian Context
Object identification—the task of deciding that two observed objects are in fact one and the same object—is a fundamental requirement for any situated agent that reasons about...
Timothy Huang, Stuart J. Russell
133
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BMCBI
2007
146views more  BMCBI 2007»
15 years 3 months ago
Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
BMCBI
2008
166views more  BMCBI 2008»
15 years 3 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf