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クラスタリングと遺伝的プログラミングによる複合的木構造パターンの獲得 Acquisition of Multiple Tree Structured Patterns by Clustering and Genetic Programming 大塚, 喜明 オオツカ, ヨシアキ 宮原, 哲浩 ミヤハラ, テツヒロ OTSUKA, Yoshiaki MIYAHARA, Tetsuhiro Copyright by IEEE SMC Hiroshima Chapter. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting or republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. application/pdf We propose a learning method for acquiring multiple tree structured patterns from tree structured data by using clustering and evolutionary method (Genetic Programming , GP). By clustering of positive data and running GP subprocesses on each cluster with negative data, we make a combined pattern which consists of best individuals in GP subprocesses. 2011 IEEE SMC Hiroshima Chapter若手研究会, 2011年7月9日, 広島市立大学 IEEE SMC Hiroshima Chapter 2011-07 jpn conference paper AM https://hiroshima-cu.repo.nii.ac.jp/records/1397 http://www.smc-hiroshima.info.hiroshima-cu.ac.jp/ http://www.smc-hiroshima.info.hiroshima-cu.ac.jp/ 2011 IEEE SMC Hiroshima Chapter Young Researchers' Workshop Proceedings = 2011 IEEE SMC Hiroshima Chapter 若手研究会講演論文集 85 86 https://hiroshima-cu.repo.nii.ac.jp/record/1397/files/SMCHiroshima2011_85.pdf application/pdf 326.0 kB 2023-03-02