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Connection of the beam width and the learning success rate in the phase transition framework for relational learning., и . FSKD, стр. 865-869. IEEE, (2012)Actively constructing an effective training set by expected gain maximization criterion., , и . Neurocomputing, (2015)Imbalance deep multi-instance learning for predicting isoform-isoform interactions., , , , , и . Int. J. Intell. Syst., 36 (6): 2797-2824 (2021)Active Framework by Sparsity Exploitation for Constructing a Training Set., , и . ICIC (1), том 10954 из Lecture Notes in Computer Science, стр. 334-346. Springer, (2018)Hidden conditional random field for lung nodule detection., , , и . ICIP, стр. 3518-3521. IEEE, (2014)MLPA: Detecting overlapping communities by multi-label propagation approach., , , , и . IEEE Congress on Evolutionary Computation, стр. 681-688. IEEE, (2013)Novel H/ACA Box snoRNA Mining and Secondary Structure Prediction Algorithms., , , , и . RSKT, том 5589 из Lecture Notes in Computer Science, стр. 538-546. Springer, (2009)DMIL-IsoFun: predicting isoform function using deep multi-instance learning., , , , и . Bioinform., 37 (24): 4818-4825 (2021)Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction., , , и . BIBM, стр. 115-120. IEEE, (2020)Multi-label Answer Aggregation Based on Joint Matrix Factorization., , , , , и . ICDM, стр. 517-526. IEEE Computer Society, (2018)