Hierarchical latent class models for cluster analysis
Eighteenth national conference on Artificial intelligence
Fusion of domain knowledge with data for structural learning in object oriented domains
The Journal of Machine Learning Research
Information Sciences: an International Journal - Special issue: Soft computing data mining
Hierarchical Latent Class Models for Cluster Analysis
The Journal of Machine Learning Research
Learning Hidden Variable Networks: The Information Bottleneck Approach
The Journal of Machine Learning Research
Classification using Hierarchical Naïve Bayes models
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Utilizing hierarchical feature domain values for prediction
Data & Knowledge Engineering
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Latent tree models and approximate inference in Bayesian networks
Journal of Artificial Intelligence Research
Remote sensing data change detection based on the CI test of Bayesian networks
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Latent variable study algorithm based on grey cluster relation analysis method
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Learning the behavior model of a robot
Autonomous Robots
Ancestor relations in the presence of unobserved variables
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
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