利用信息量提高数据分类问题中基于压缩的不相似度度量的准确性和效率

Ayaka Takamoto, Yuto Kohara, Mitsuo Yoshida, Kyoji Umemura
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引用次数: 1

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本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving the Accuracy and Efficiency of Compression-based Dissimilarity Measure using Information Quantity in Data Classification Problems
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来源期刊
Transactions of The Japanese Society for Artificial Intelligence
Transactions of The Japanese Society for Artificial Intelligence Computer Science-Artificial Intelligence
CiteScore
0.40
自引率
0.00%
发文量
36
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