Vladimir V. Ryazanov

Learn More
Methods for the analysis of medical data and the results of their application to the treatment of a number of socially important diseases in important medical areas (cardiology, neurology, surgery, and oncology) are considered. The precedent approach is investigated. Practical methods of discrete analysis of training data, logical and statistical methods(More)
An approach of solving the problem of multiclass supervised classification, based on using errorcorrecting codes is considered. The main problem here is the creation of binary code matrix, which provides high classification accuracy. Binary classifiers must be distinct and accurate. In this issue, there are many questions. What should be the elements of the(More)
The problem of choosing an ensemble of binary subproblems for multiclass recognition problems is considered in the algebraic and logical approaches. The connection of the first and second level algorithm correctness and the applicability of logical deduction in a multilevel scheme are studied. Two modifications of the ECOC method are proposed that allow one(More)
A problem of classification by precedents in partial precedence models is considered. An algorithm is presented for searching for maximum logical regularities of a class (LRCs) for consistent training tables. A two-level solution scheme of a problem is proposed for finding an optimal decision rule. First, LRCs are obtained by training data, and a mapping of(More)
First edition Recommended for publication by The Scientific Concil of the Institute of Information Theories and Applications FOI ITHEA This book maintains articles on actual problems of classification, data mining and forecasting as well as natural language processing:-new approaches, models, algorithms and methods for classification, forecasting and(More)
First edition Recommended for publication by The Scientific Concil of the Institute of Information Theories and Applications FOI ITHEA This book maintains articles on actual problems of classification, data mining and forecasting as well as natural language processing:-new approaches, models, algorithms and methods for classification, forecasting and(More)
First edition Recommended for publication by The Scientific Concil of the Institute of Information Theories and Applications FOI ITHEA This book maintains articles on actual problems of classification, data mining and forecasting as well as natural language processing:-new approaches, models, algorithms and methods for classification, forecasting and(More)