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» Variable selection using neural-network models
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CEEMAS
2005
Springer
15 years 5 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
15 years 2 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
15 years 2 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
UAI
1997
15 years 1 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 11 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. ...