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Литература

181. Brelaz D. (1979) New methods to color the vertices of a graph. Communications of the Association forComputing Machinery, 22(4), p. 251-256.

182. Brent R. P. (1973) Algorithms for minimization without derivatives. Prentice-Hall, Upper Saddle River,New Jersey.

183. Bresnan J. (1982) The Mental Representation of Grammatical Relations. MIT Press, Cambridge,Massachusetts.

184. Brewka G., Dix J., and Konolige K. (1997) Nononotonic Reasoning: An Overview. CSLI Publications,Stanford, California.

185. Bridle J. S. (1990) Probabilistic interpretation of feedforward classification network outputs, withrelationships to statistical pattern recognition. In Fogelman Soulie, F. and Herault J. (Eds.), Neurocomputing: Algorithms, Architectures and Applications. Springer-Verlag, Berlin.

186. Briggs R. (1985) Knowledge representation in Sanskrit and artificial intelligence. AI Magazine, 5(1),p. 32-39.

187. Brin S. and Page L. (1998) The anatomy of a large-scale hypertextual web search engine. InProceedings of the Seventh World Wide Web Conference, Brisbane, Australia.

188. Broadbent D. E. (1958) Perception and communication. Pergamon, Oxford, UK.

189. Brooks R. A. (1986) A robust layered control system for a mobile robot. IEEE Journal of Robotics andAutomation, 2, p. 14-23.

190. Brooks R. A. (1989) Engineering approach to building complete, intelligent beings. Proceedings of theSPIE— the International Society for Optical Engineering, 1002, p. 618—625.

191. Brooks R. A. (1990) Elephants don't play chess. Autonomous Robots, 6, p. 3-15.

192. Brooks R. A. (1991) Intelligence without representation. Artificial Intelligence, 47(1-3), p. 139-159.

193. Brooks R. A. and Lozano-Perez T. (1985) A subdivision algorithm in configuration space for findpathwith rotation. IEEE Transactions on Systems, Man and Cybernetics, 15(2), p. 224-233.

194. Brown M, Grundy W., Lin D., Cristianini N., Sugnet C, Furey Т., Ares M., and Haussler D. (2000)Knowledge-based analysis of microarray gene expression data using support vector machines. In Proceedings of the national Academy of Sciences, Vol. 97, p. 262-267.

195. Brown P. F., Cocke J., Delia Pietra S. A., Delia Pietra V. J., Jelinek F., Mercer R. L., and Roossin P.(1988) A statistical approach to language translation. In Proceedings of the 12th International Conference on Computational Linguistics, p. 71-76, Budapest. John von Neumann Society for Computing Sciences.

196. Brown P. F., Delia Pietra S. A., Delia Pietra V. J., and Mercer R. L. (1993) The mathematics ofstatistical machine translation: Parameter estimation. Computational Linguistics, 19(2), p. 263-311.

197. Brownston L., Farrell R., Kant E., and Martin N. (1985) Programming expert systems in OPS5: Anintroduction to rule-based programming. Addison-Wesley, Reading, Massachusetts.

198. Brudno A. L. (1963) Bounds and valuations for shortening the scanning of variations. Problems ofCybernetics, 10, p. 225-241.

199. Bruner J. S., Goodnow J. J., and Austin G. A. (1957) A Study of Thinking. Wiley, New York.

200. Bryant R. E. (1992) Symbolic Boolean manipulation with ordered binary decision diagrams. ACMComputing Surveys, 24(3), p. 293-318.