Learning Probabilistic Models: An Expected Utility Maximization Approach.
- Published in:
- Journal of Machine Learning Research, 2004, v. 4, n. 3, p. 257, doi. 10.1162/153244304773633816
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- Publication type:
- Article
Works matching IS 15324435 AND DT 2004 AND VI 4 AND IP 3
Results: 7
1
2
Introduction to the Special Issue on the Fusion of Domain Knowledge with Data for Decision Support.
- Published in:
- Journal of Machine Learning Research, 2004, v. 4, n. 3, p. 293, doi. 10.1162/153244304773633825
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- Publication type:
- Article
3
Combining Knowledge from Different Sources in Causal Probabilistic Models.
- Published in:
- Journal of Machine Learning Research, 2004, v. 4, n. 3, p. 295, doi. 10.1162/153244304773633834
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- Publication type:
- Article
4
Preference Elicitation via Theory Refinement.
- Published in:
- Journal of Machine Learning Research, 2004, v. 4, n. 3, p. 317, doi. 10.1162/153244304773633843
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- Publication type:
- Article
5
Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains.
- Published in:
- Journal of Machine Learning Research, 2004, v. 4, n. 3, p. 339, doi. 10.1162/153244304773633852
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- Publication type:
- Article
6
An Empirical Study of the Use of Relevance Information in Inductive Logic Programming.
- Published in:
- Journal of Machine Learning Research, 2004, v. 4, n. 3, p. 369, doi. 10.1162/153244304773633861
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- Publication type:
- Article
7
Learning Behavior-Selection by Emotions and Cognition in a Multi-Goal Robot Task.
- Published in:
- Journal of Machine Learning Research, 2004, v. 4, n. 3, p. 385, doi. 10.1162/153244304773633870
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- Publication type:
- Article