506 search results - page 15 / 102 » Learning Bayesian Networks from Incomplete Databases |
165
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ICWE
2007
Springer
16 years 15 days ago
2007
Springer
The objective of this paper is to describe the use of a probabilistic approach to Web effort estimation by means of a Bayesian Network. A Bayesian Network is a model that embodies ...
156
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IJCAI
2001
15 years 7 months ago
2001
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
181
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CIDM
2007
IEEE
16 years 21 days ago
2007
IEEE
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...
162
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ML
2006
ACM
15 years 6 months ago
2006
ACM
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
158
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ISORC
2000
IEEE
15 years 10 months ago
2000
IEEE
This paper documents progress to date on a research project, the goal of which is wartime event prediction. The paper describes the operational concept, the datamining environment...