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Литература

301. Cox I. (1993) A review of statistical data association techniques for motion correspondence.International]ournal of Computer Vision, 10, p. 53-66.

302. Cox I. and Hingorani S. L. (1994) An efficient implementation and evaluation of Reid's multiplehypothesis tracking algorithm for visual tracking. In Proceedings of the 12th International Conference on Pattern Recognition, Vol. 1, p. 437-442, Jerusalem, Israel. International Association for Pattern Recognition (IAPR).

303. Cox I. and Wilfong G. T. (Eds.) (1990) Autonomous Robot Vehicles. Springer Verlag, Berlin.

304. Cox R. T. (1946) Probability, frequency, and reasonable expectation. American Journal of Physics,14(1), p. 1-13.

305. Craig J. (1989) Introduction to Robotics: Mechanics and Control (2nd Edition). Addison-WesleyPublishing, Inc., Reading, MA.

306. Craik K. J. (1943) The Nature of Explanation. Cambridge University Press, Cambridge, UK.

307. Crawford J. M. and Auton L. D. (1993) Experimental results on the crossover point in satisfiabilityproblems. In Proceedings of the Eleventh National Conference on Artificial Intelligence (AAAI-93), p. 21-27, Washington, DC. AAAI Press.

308. Cristianini N. and Scholkopf B. (2002) Support vector machines and kernel methods: The newgeneration of learning machines. AIMagazine, 23(3), p. 31—41.

309. Cristianini N. and Shawe-Taylor J. (2000) An introduction to support vector machines and other kernel-based learning methods. Cambridge University Press, Cambridge, UK.

310. Crockett L. (1994) The Turing Test and the Frame Problem: AI's Mistaken Understanding of Intelligence.Ablex, Norwood, New Jersey.

311. Cross S. E. and Walker E. (1994) Dart: Applying knowledge based planning and scheduling to crisisaction planning. In Zweben M. and Fox M. S. (Eds.), Intelligent Scheduling, p. 711-729. Morgan Kaufmann, San Mateo, California.

312. Cruse D. A. (1986) Lexical Semantics. Cambridge University Press.

313. Culberson J. and Schaeffer J. (1998) Pattern databases. Computational Intelligence, 14(4), p. 318-334.

314. CuUingford R. E. (1981) Integrating knowledge sources for computer "understanding" tasks. IEEETransactions on Systems, Man and Cybernetics (SMC), 11.

315. Cussens J. and Dzeroski S. (2000) Learning Language in Logic, Vol. 1925 of Lecture Notes in ComputerScience. Springer-Verlag, Berlin.

316. Cybenko G. (1988) Continuous valued neural networks with two hidden layers are sufficient.Technical report, Department of Computer Science, Tufts University, Medford, Massachusetts.

317. Cybenko G. (1989) Approximation by superpositions of a sigmoidal function. Mathematics of Controls,Signals, and Systems, 2, p. 303—314.

318. Daganzo C. (1979) Multinomial probit: The theory and its application to demand forecasting. AcademicPress, New York.

319. Dagum P. and Luby M. (1993) Approximating probabilistic inference in Bayesian belief networks isNP-hard. Artificial Intelligence, 60(1), p. 141-153.

320. Dahl O.-J., Myrhaug В., and Nygaard K. (1970) (Simula 67) common base language. Tech. rep.N. S-22, Norsk Regnesentral (Norwegian Computing Center), Oslo.