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Bayesian Boolean Matrix Factorisation., , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 2969-2978. PMLR, (2017)Interacting sequential Monte Carlo samplers for trans-dimensional simulation, , , и . Computational Statistics & Data Analysis, 52 (4): 1765--1791 (10.01.2008)Probabilistic Boolean Tensor Decomposition., , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 4410-4419. PMLR, (2018)PWSHAP: A Path-Wise Explanation Model for Targeted Variables., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 34054-34089. PMLR, (2023)Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach., , и . ICML, том 32 из JMLR Workshop and Conference Proceedings, стр. 405-413. JMLR.org, (2014)Phylogenetic inference under recombination using Bayesian stochastic topology selection., , и . Bioinform., 25 (2): 197-203 (2009)Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers., , , , , , , , , и 15 other автор(ы). Nat. Mac. Intell., 6 (2): 229-242 (2024)Minimum-Entropy Data Clustering Using Reversible Jump Markov Chain Monte Carlo., , и . ICANN, том 2130 из Lecture Notes in Computer Science, стр. 103-110. Springer, (2001)Semi-Unsupervised Learning with Deep Generative Models: Clustering and Classifying using Ultra-Sparse Labels., , и . CoRR, (2019)Approximate Bayesian feature selection on a large meta-dataset offers novel insights on factors that effect siRNA potency., , и . Bioinform., 25 (13): 1594-1601 (2009)