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InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy.

, , , и . CoRR, (2019)

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Andrés Kecskeméthy

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Andrés González

 

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Varying Parameter in Classification Based on Imprecise Probabilities., , , и . SMPS, том 37 из Advances in Soft Computing, стр. 231-239. Springer, (2006)An Importance Sampling Approach to Integrate Expert Knowledge When Learning Bayesian Networks From Data., , и . IPMU, том 6178 из Lecture Notes in Computer Science, стр. 685-695. Springer, (2010)A Bayesian Random Split to Build Ensembles of Classification Trees., , и . ECSQARU, том 5590 из Lecture Notes in Computer Science, стр. 469-480. Springer, (2009)Locally Averaged Bayesian Dirichlet Metrics., , , и . ECSQARU, том 6717 из Lecture Notes in Computer Science, стр. 217-228. Springer, (2011)Rejoinder on "Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks"., и . Int. J. Approx. Reason., 55 (7): 1618-1622 (2014)Understanding Generalization in the Interpolation Regime using the Rate Function., и . CoRR, (2023)Analyzing concept drift: A case study in the financial sector., , , , , и . Intell. Data Anal., 24 (3): 665-688 (2020)Methods to Determine the Branching Attribute in Bayesian Multinets Classifiers., , , и . ECSQARU, том 3571 из Lecture Notes in Computer Science, стр. 932-943. Springer, (2005)Learning from i.i.d. data under model miss-specification.. CoRR, (2019)A memory efficient semi-Naive Bayes classifier with grouping of cases., , , и . Intell. Data Anal., 15 (3): 299-318 (2011)