Abstract:The concepts of metalearning as one of the tasks of machine learning are considered. The basic principles of metalearning g and examples of solving problems of machine and metalearning in various fields of human activity are given. It is planned for a decision support system construction based on an inductive approach for complex processes modeling and forecasting.
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