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Computation, Causation, and Discovery

, и . AAAI Press ; MIT Press, Menlo Park, California, (1999)

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Andrew F Gregory

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A Novel Personalized Random Forest Algorithm for Clinical Outcome Prediction., , и . MedInfo, том 290 из Studies in Health Technology and Informatics, стр. 248-252. IOS Press, (2021)Learning Treatment Effects from Observational and Experimental Data., , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 7126-7146. PMLR, (2023)Instance-Specific Bayesian Network Structure Learning., , и . PGM, том 72 из Proceedings of Machine Learning Research, стр. 169-180. PMLR, (2018)A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries., , , , и . J. Biomed. Informatics, 34 (5): 301-310 (2001)Model Averaging with Bayesian Network Classifiers., и . AISTATS, Society for Artificial Intelligence and Statistics, (2003)The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks.. Artif. Intell., 42 (2-3): 393-405 (1990)Predicting with Variables Constructed from Temporal Sequences., , и . AISTATS, Society for Artificial Intelligence and Statistics, (2001)An Empirical Investigation of Instance-Specific Causal Bayesian Network Learning., , и . BIBM, стр. 2582-2585. IEEE, (2019)A Simple Constraint-Based Algorithm for Efficiently Mining Observational Databases for Causal Relationships.. Data Min. Knowl. Discov., 1 (2): 203-224 (1997)A Theoretical Study of Y Structures for Causal Discovery., , и . UAI, AUAI Press, (2006)