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Relational Marginal Problems: Theory and Estimation.

, , , и . AAAI, стр. 6384-6391. AAAI Press, (2018)

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Ondrej Burkacky

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Ondrej Vorisek

Ondrej Zofka

Ondrej Rypacek

 

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Gaussian Logic for Predictive Classification, , , и . Proceedings of the ECML/PKDD 2011, (2011)Markov Logic Networks with Complex Weights: Expressivity, Liftability and Fourier Transforms.. CoRR, (2020)Lifted Relational Neural Networks: From Graphs to Deep Relational Learning., , и . Compendium of Neurosymbolic Artificial Intelligence, том 369 из Frontiers in Artificial Intelligence and Applications, IOS Press, (2023)Beyond graph neural networks with lifted relational neural networks., , и . Mach. Learn., 110 (7): 1695-1738 (2021)First-Order Context-Specific Likelihood Weighting in Hybrid Probabilistic Logic Programs., , и . J. Artif. Intell. Res., (2023)Lifted Inference with Linear Order Axiom., и . AAAI, стр. 12295-12304. AAAI Press, (2023)Domain-Lifted Sampling for Universal Two-Variable Logic and Extensions., , , и . AAAI, стр. 10070-10079. AAAI Press, (2022)STRiKE: Rule-Driven Relational Learning Using Stratified k-Entailment., , , и . ECAI, том 325 из Frontiers in Artificial Intelligence and Applications, стр. 1515-1522. IOS Press, (2020)Lifted Weight Learning of Markov Logic Networks (Revisited One More Time)., , и . PGM, том 138 из Proceedings of Machine Learning Research, стр. 269-280. PMLR, (2020)Context-Specific Likelihood Weighting., и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 2125-2133. PMLR, (2021)