288 search results - page 26 / 58 » Improving Bayesian Network parameter learning using constrai... |
129
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UAI
2001
15 years 2 months ago
2001
In this paper we present a method of computing the posterior probability of conditional independence of two or more continuous variables from data, examined at several resolutions...
125
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NIPS
2003
15 years 2 months ago
2003
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
118
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AI
2005
Springer
15 years 1 months ago
2005
Springer
Abstract. The protein family classification problem, which consists of determining the family memberships of given unknown protein sequences, is very important for a biologist for ...
121
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JAIR
2008
15 years 1 months ago
2008
This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are rigorously explained, and...
WIOPT
2010
IEEE
14 years 11 months ago
2010
IEEE
—The paper presents a methodology that combines statistical learning with constraint optimization by locally optimizing Radio Resource Management (RRM) or system parameters of po...