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A logical approach to context-specific independence.

, , , , и . Ann. Pure Appl. Log., 170 (9): 975-992 (2019)

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Johan Verink

Johan Setianto

Johan Waern

Johan Setianto

Johan Vanparys

 

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Structure Learning for Bayesian Networks over Labeled DAGs., , , и . PGM, том 72 из Proceedings of Machine Learning Research, стр. 133-144. PMLR, (2018)Learning Chordal Markov Networks by Constraint Satisfaction., , , , и . NIPS, стр. 1349-1357. (2013)Learning Gaussian Graphical Models With Fractional Marginal Pseudo-likelihood., , , и . CoRR, (2016)Incorporating probabilistic domain knowledge into deep multiple instance learning., , , , , , , , , и 1 other автор(ы). ICML, OpenReview.net, (2024)A logical approach to context-specific independence., , , , и . Ann. Pure Appl. Log., 170 (9): 975-992 (2019)Context-Specific and Local Independence in Markovian Dependence Structures., , и . Dependence Logic, Springer, (2016)Improving generalization of machine learning-identified biomarkers using causal modelling with examples from immune receptor diagnostics., , , , , , , и . Nat. Mac. Intell., 6 (1): 15-24 (2024)A Bayesian Approach for Estimating Causal Effects from Observational Data., , , и . AAAI, стр. 5395-5402. AAAI Press, (2020)A Logical Approach to Context-Specific Independence., , , , и . WoLLIC, том 9803 из Lecture Notes in Computer Science, стр. 165-182. Springer, (2016)The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires., , , , , , , , , и 32 other автор(ы). Nat. Mach. Intell., 3 (11): 936-944 (2021)