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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)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)A General Lower Bound on the Number of Examples Needed for Learning., , , и . COLT, стр. 139-154. ACM/MIT, (1988)Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families., , , , , и . ISMB, стр. 47-55. AAAI, (1993)Optimally Parsing a Sequence into Different Classes Based on Multiple Types of Evidence., и . ISMB, стр. 369-375. AAAI, (1994)A Brief Look at Some Machine Learning Problems in Genomics.. COLT, стр. 109-113. ACM, (1997)Into the heart of darkness: large-scale clustering of human non-coding DNA., , и . ISMB/ECCB (Supplement of Bioinformatics), стр. 40-48. (2004)