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Verifying Relational Explanations: A Probabilistic Approach.

, , , и . IEEE Big Data, стр. 108-115. IEEE, (2023)

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Efficient Weight Learning in High-Dimensional Untied MLNs., , и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 1637-1645. PMLR, (2018)Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models., , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 2907-2915. PMLR, (2019)Scaling-Up MAP and Marginal MAP Inference in Markov Logic.. AAAI, стр. 4343-. AAAI Press, (2016)Fine-Grained Explanations Using Markov Logic., , , и . ECML/PKDD (2), том 11907 из Lecture Notes in Computer Science, стр. 614-629. Springer, (2019)Fast Lifted MAP Inference via Partitioning., , и . NIPS, стр. 3240-3248. (2015)Contextualized Styling of Images for Web Interfaces using Reinforcement Learning., , , , , , , и . ISM, стр. 169-172. IEEE, (2022)Verifying Relational Explanations: A Probabilistic Approach., , , и . IEEE Big Data, стр. 108-115. IEEE, (2023)On the Verification of Embeddings with Hybrid Markov Logic., , , и . ICDM, стр. 1301-1306. IEEE, (2023)Scalable Bid Landscape Forecasting in Real-Time Bidding., , , , , и . ECML/PKDD (3), том 11908 из Lecture Notes in Computer Science, стр. 451-466. Springer, (2019)Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs., , и . AAAI, стр. 3606-3612. AAAI Press, (2015)