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Comparison of Different Dichotomous Classification Algorithms
Pattern Recognition and Image Analysis ( IF 0.7 ) Pub Date : 2020-09-15 , DOI: 10.1134/s105466182003030x Yu. I. Zhuravlev , V. Vl. Ryazanov , Vl. V. Ryazanov , L. H. Aslanyan , H. A. Sahakyan
中文翻译:
不同二分类算法的比较
更新日期:2020-09-15
Pattern Recognition and Image Analysis ( IF 0.7 ) Pub Date : 2020-09-15 , DOI: 10.1134/s105466182003030x Yu. I. Zhuravlev , V. Vl. Ryazanov , Vl. V. Ryazanov , L. H. Aslanyan , H. A. Sahakyan
Abstract
Experimental investigations of various dichotomous classification algorithms are carried out. Dichotomous classification, or Error-Correcting Output Codes (ECOCs) classification, is based on the construction of a binary code matrix. The rows of the matrix contain unique codewords of classes, and columns are called dichotomies. A dichotomous classification consists of two stages: coding (construction of a code matrix) and decoding, making a decision on the correspondence of an object to a class by analyzing the code matrix. In this study, an experimental comparison of newly proposed methods for constructing dichotomies and a comparison of different approaches to decoding by the available code matrix are proposed. Preliminary experiments show the prospects of proposed methods.中文翻译:
不同二分类算法的比较