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The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration.

, , , , , , and . IJCAI, page 6530-6532. ijcai.org, (2019)

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Classtering: Joint Classification and Clustering with Mixture of Factor Analysers., , and . ECAI, volume 285 of Frontiers in Artificial Intelligence and Applications, page 1089-1095. IOS Press, (2016)Hashing-Based Approximate Probabilistic Inference in Hybrid Domains., , and . UAI, page 141-150. AUAI Press, (2015)Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy., , , and . ECML/PKDD (2), volume 7524 of Lecture Notes in Computer Science, page 854-857. Springer, (2012)Predicting zinc binding at the proteome level., , , , and . BMC Bioinformatics, (2007)Learning Modulo Theories for preference elicitation in hybrid domains., , and . CoRR, (2015)Learning Constraints From Examples., , and . AAAI, page 7965-7970. AAAI Press, (2018)Probabilistic Inference in Hybrid Domains by Weighted Model Integration., , and . IJCAI, page 2770-2776. AAAI Press, (2015)Continual egocentric object recognition., , and . CoRR, (2019)Improving activity recognition by segmental pattern mining., and . PerCom Workshops, page 709-714. IEEE Computer Society, (2012)New results on error correcting output codes of kernel machines., , and . IEEE Trans. Neural Networks, 15 (1): 45-54 (2004)