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New Theoretical Directions in Machine Learning.. Mach. Learn., 2 (4): 281-284 (1987)Support vector machine classification and validation of cancer tissue samples using microarray expression data., , , , , и . Bioinform., 16 (10): 906-914 (2000)Spiking neural state machine for gait frequency entrainment in a flexible modular robot., , , и . CoRR, (2020)PARADIGM-SHIFT predicts the function of mutations in multiple cancers using pathway impact analysis., , , , , , , , и . Bioinform., 28 (18): 640-646 (2012)Sphere Packing Numbers for Subsets of the Boolean n-Cube with Bounded Vapnik-Chervonenkis Dimension.. J. Comb. Theory, Ser. A, 69 (2): 217-232 (1995)Knowledge--based analysis of microarray gene expression data by using support vector machines, , , , , , , и . Proceedings of the National Academy of Sciences, 97 (1): 262--267 (2000)The Human Genome Browser at UCSC, , , , , , и . Genome Research, 12 (6): 996--1006 (2002)Optimally Parsing a Sequence into Different Classes Based on Multiple Types of Evidence., и . ISMB, стр. 369-375. AAAI, (1994)Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families., , , , , и . ISMB, стр. 47-55. AAAI, (1993)A General Lower Bound on the Number of Examples Needed for Learning., , , и . COLT, стр. 139-154. ACM/MIT, (1988)