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Controlled experimentation in recommendations, ranking & response prediction., , и . RecSys, стр. 389. ACM, (2014)Pruning strategies for the MTiling constructive learning algorithm., , и . ICNN, стр. 1960-1965. IEEE, (1997)Constructive neural-network learning algorithms for pattern classification., , и . IEEE Trans. Neural Networks Learn. Syst., 11 (2): 436-451 (2000)Lessons and Challenges from Mining Retail E-Commerce Data., , , и . Mach. Learn., 57 (1-2): 83-113 (2004)Designing AI at Scale to Power Everyday Life.. KDD, стр. 27. ACM, (2017)Data-driven theory refinement algorithms for bioinformatics., , , и . IJCNN, стр. 4064-4068. IEEE, (1999)An empirical comparison of the performance so single-layer algorithms for training threshold logic units., , и . Neural Parallel & Scientific Comp., 8 (3-4): 415-438 (2000)Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples., и . ICML, стр. 298-306. Morgan Kaufmann, (1999)On the Relationship between Models for Learning in Helpful Environments., и . ICGI, том 1891 из Lecture Notes in Computer Science, стр. 207-220. Springer, (2000)An Incremental Interactive Algorithm for Regular Grammar Inference., и . AAAI/IAAI, Vol. 2, стр. 1397. AAAI Press / The MIT Press, (1996)0-262-51091-X.