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Learning Causal Relationships: An Integration of Empirical and Explanation-Based Learning Methods. Computer Science Department, University of California, Los Angeles, (1988)Learning augmented Bayesian classifiers: A comparison of distribution-based and classification-based approaches., and . AISTATS, Society for Artificial Intelligence and Statistics, (1999)Exploring the Decision Forest: An Empirical Investigation of Occam's Razor in Decision Tree Induction., and . CoRR, (1994)A Personal News Agent That Talks, Learns and Explains., and . Agents, page 268-275. ACM, (1999)Avoiding Non-Termination when Learning Logical Programs: A Case Study with FOIL and FOCL., , , , and . LOPSTR, volume 883 of Lecture Notes in Computer Science, page 183-198. Springer, (1994)Learning with Globally Predictive Tests.. Discovery Science, volume 1532 of Lecture Notes in Computer Science, page 220-231. Springer, (1998)Creating High Level Knowledge Structures from Simple Elements.. Knowledge Representation and Organization in Machine Learning, volume 347 of Lecture Notes in Computer Science, page 258-288. Springer, (1987)Learning Probabilistic User Profiles: Applications for Finding Interesting Web Sites, Notifying Users of Relevant Changes to Web Pages, and Locating Grant Opportunities., , , , , , , , , and 5 other author(s). AI Magazine, 18 (2): 47-56 (1997)A Natural Language Query Interface for Searching Personal Information on Smartwatches., , , , and . CoRR, (2016)Explanation-Based Learning with Week Domain Theories.. ML, page 72-74. Morgan Kaufmann, (1989)