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Prediction Based on the Solution of the Set of Classification Problems of Supervised Learning and Degrees of Membership
Pattern Recognition and Image Analysis Pub Date : 2020-03-31 , DOI: 10.1134/s1054661820010095 A. A. Lukanin , V. V. Ryazanov , N. N. Kiselyova
中文翻译:
基于监督学习的分类问题集和隶属度的解的预测
更新日期:2020-03-31
Pattern Recognition and Image Analysis Pub Date : 2020-03-31 , DOI: 10.1134/s1054661820010095 A. A. Lukanin , V. V. Ryazanov , N. N. Kiselyova
Abstract
It is proposed to use the degrees of membership of objects to each class in the process of recognition in the linear corrector model to solve the problem of restoring dependences from precedent samples. Two models of the algorithm for calculating estimates are used as classifiers. The work of the proposed model is compared with the original method and with the well-known data analysis methods. The dependence of the work of the linear corrector on its parameters is studied.中文翻译:
基于监督学习的分类问题集和隶属度的解的预测