Professor Alexey Chervonenkis has made a long and outstanding contribution to the area of pattern recognition and computational learning. His first book on Pattern Recognition was published in 1974 with Professor Vladimir Vapnik and he has become an established authority in the field. His most important contributions include: The derivation of the necessary and sufficient conditions for the uniform convergence of the frequency of an event to its probability over a class of events. A result that was later developed to the necessary and sufficient conditions for the uniform convergence of means to expectations. The introduction of a new characteristic of a class of sets, later called the VC-dimension. The development of a pattern recognition algorithm called "generalized portrait", which was later further developed to the well-known Support Vector Machine.
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