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» Learning Bayesian Networks with Local Structure
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123
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ENGL
2007
102views more  ENGL 2007»
15 years 1 months ago
Decision Theoretic Agent Design for Personal Rapid Transit Systems
—This paper details a learning decision-theoretic intelligent agent designed to solve the problem of guiding vehicles in the context of Personal Rapid Transit (PRT). The intellig...
Iheanyi C. Umez-Eronini, Ferat Sahin
BMCBI
2006
118views more  BMCBI 2006»
15 years 1 months ago
Predicting the effect of missense mutations on protein function: analysis with Bayesian networks
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...
Chris J. Needham, James R. Bradford, Andrew J. Bul...
127
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ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
15 years 6 months ago
A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Man Leung Wong, Shing Yan Lee, Kwong-Sak Leung
119
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ECAI
2008
Springer
15 years 3 months ago
An Analysis of Bayesian Network Model-Approximation Techniques
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
Adamo Santana, Gregory M. Provan
105
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APIN
1999
107views more  APIN 1999»
15 years 1 months ago
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Petri Myllymäki