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Литература

501. Freund Y. and Schapire R. E. (1996) Experiments with a new boosting algorithm. In Proceedings of theThirteenth International Conference on Machine Learning, Bari, Italy. Morgan Kaufmann.

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503. Friedberg R. M., Dunham В., and North T. (1959) A learning machine: Part II. IBM Journal ofResearch and Development, 3(3), p. 282—287.

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505. Friedman J., Hastie Т., and Tibshirani R. (2000) Additive logistic regression: A statistical view ofboosting. Annals of Statistics, 28(2), p. 337-374.

506. Friedman N. (1998) The Bayesian structural EM algorithm. In Uncertainty in Artificial Intelligence:Proceedings of the Fourteenth Conference, Madison, Wisconsin. Morgan Kaufmann.

507. Friedman N. and Goldszmidt M. (1996) Learning Bayesian networks with local structure. InUncertainty in Artificial Intelligence: Proceedings of the Twelfth Conference, p. 252-262, Portland, Oregon. Morgan Kaufmann.

508. Fry D. B. (1959) Theoretical aspects of mechanical speech recognition. Journal of the British Institutionof Radio Engineers, /9(4), p. 211-218.

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514. Gallaire H. and Minker J. (Eds.) (1978) Logic and Databases. Plenum, New York.

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519. Gardner M. (1968) Logic Machines, Diagrams and Boolean Algebra. Dover, New York.

520. Garey M. R. and Johnson D. S. (1979) Computers and Intractability. W. H. Freeman, New York.