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A Guide to the Literature on Learning Probabilistic Networks From Data
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214
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Operations for Learning with Graphical Models
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27
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Combining Connectionist and Symbolic Learning to Refine Certainty-Factor Rule Bases
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A guide to the literature on learning probabilistic . . .
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MLnet Summer School on Machine Learning and Knowledge Acquisition: LEARNING AND PROBABILITIES
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14
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Theory refinement of bayesian networks with hidden variables
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877
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A Bayesian method for the induction of probabilistic networks from data
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13
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Comparing Methods for Refining Certainty-Factor Rule Bases
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77
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A Theory of Learning Classification Rules
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1
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Divide and Conquer: Pattern Recognition using Mixtures of Experts
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3
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Learning Bayesian Networks for Solving Real-World Problems
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9
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Time Series Learning with Probabilistic Network Composites
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5
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On the use of independence relationships for learning simplified belief networks
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18
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A new approach for learning belief networks using independence criteria
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31
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Learning Bayesian Networks from Data: An Efficient Approach Based on Information Theory
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67
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Learning Bayesian Networks from Data: An Information-Theory Based Approach
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16
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Learning Logical Exceptions In Chess
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208
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Learning Bayesian Networks With Local Structure
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Two Papers on Feed-Forward Networks
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