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» Variable selection using neural-network models
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CEEMAS
2005
Springer
15 years 3 months ago
On Communication in Solving Distributed Constraint Satisfaction Problems
Abstract. Distributed Constraint Satisfaction Problems (DCSP) is a general framework for multi-agent coordination and conflict resolution. In most DCSP algorithms, inter-agent com...
Hyuckchul Jung, Milind Tambe
AAAI
2008
14 years 12 months ago
Learning to Analyze Binary Computer Code
We present a novel application of structured classification: identifying function entry points (FEPs, the starting byte of each function) in program binaries. Such identification ...
Nathan E. Rosenblum, Xiaojin Zhu, Barton P. Miller...
WSC
2008
14 years 12 months ago
Multiple worlds in simulation games for spatial decision making: Concept and architecture
In this paper we present the use of "what-if"-analysis in simulation games for spatial decision making by introducing the concept of multiple worlds. We expect that &quo...
Michele Fumarola, Alexander Verbraeck
77
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UAI
1997
14 years 11 months ago
Update Rules for Parameter Estimation in Bayesian Networks
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...
Eric Bauer, Daphne Koller, Yoram Singer
BMCBI
2006
130views more  BMCBI 2006»
14 years 9 months ago
CARMA: A platform for analyzing microarray datasets that incorporate replicate measures
Background: The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust ex...
Kevin A. Greer, Matthew R. McReynolds, Heddwen L. ...