Prospects of modernization of Russian education on the basis of realization of the possibities given by an information society are discussed. Conditions of formation and development of the information-communication educational space are studied. The concept of the intellectual control system of innovative development of the Russian educational complex in the conditions of information society is stated/
The concept of an information-analytical Internet-portal of the Russian medical industrial complex as the basis of the intellectual control system of innovative development of the MIC is stated.
An ensemble of classifiers has been built to solve the problem of video image recognition. The paper offers a way to estimate the a posteriori probability of an image belonging to a particular class in the case of an arbitrary distance and nearest neighbor method. The estimation is shown to be equivalent to the optimal naive Bayesian estimate given Kullback-Leibler divergence being used as proximity measure. The block diagram of a video image recognition system is presented. The system features automatic adaptation of the list of images of identical objects which is fed to the committee machine input. The system is tested in face recognition task using popular data bases (FERET, AT&T, Yale) and the results are discussed.