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InferPy: Probabilistic modeling with deep neural networks made easy., , , и . Neurocomputing, (2020)A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity., , , и . IEEE Trans. Fuzzy Syst., 27 (4): 701-715 (2019)Comparing TSK-1 FRBS against SVR for electrical power prediction in buildings., , , и . IFSA-EUSFLAT, Atlantis Press, (2015)Learning heterogeneus cooperative linguistic fuzzy rules using local search: Enhancing the COR search space., , и . ISDA, стр. 475-480. IEEE, (2011)Learning compact zero-order TSK fuzzy rule-based systems for high-dimensional problems using an Apriori + local search approach., , и . Inf. Sci., (2018)Probabilistic Graphical Models with Neural Networks in InferPy., , , и . PGM, том 138 из Proceedings of Machine Learning Research, стр. 601-604. PMLR, (2020)InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy., , , и . CoRR, (2019)TSK-0 Fuzzy Rule-Based Systems for High-Dimensional Problems Using the Apriori Principle for Rule Generation., , и . RSCTC, том 8536 из Lecture Notes in Computer Science, стр. 270-279. Springer, (2014)Comparing ELM Against MLP for Electrical Power Prediction in Buildings., , , , и . IWINAC (2), том 9108 из Lecture Notes in Computer Science, стр. 409-418. Springer, (2015)Learning TSK-0 linguistic fuzzy rules by means of local search algorithms., , и . Appl. Soft Comput., (2014)