Analysis of nursing-care freestyle japanese text classification using ga-based term selection

Analysis of nursing-care freestyle japanese text classification using ga-based term selection
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使用基于 GA 的术语选择对护理自由式日语文本分类进行分析

DOI:
10.1109/icetet.2012.68
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发表时间:
2010
期刊:
2010 World Automation Congress
影响因子:
--
通讯作者:
A. Uchinuno
A. Uchinuno
中科院分区:
--
文献类型:
--
作者:
M. Nii;T. Yamaguchi;Yutaka Takahashi;R. Sakashita;A. Uchinuno

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本文分析了基于遗传算法的术语选择的分类性能。在基于遗传算法的术语选择中,对最大化正确分类文本和最小化所选术语这两个目标进行了优化。在遗传算法中,使用基于支持向量机分类性能的目标函数对每个个体进行评价。因此,基于遗传算法的术语选择,旨在提高分类性能测试文本集。这会导致性能恶化,在实际使用中看不见的文本,基于遗传算法的术语选择,因为删除过度,即使这样的条款有重要的作用的分类。本文通过数值模拟的结果,阐明了基于遗传算法的术语选择所删除的术语与未出现文本中的术语之间的关系。
In this paper, classification performance of a term selection based on GA is analyzed. In the term selection based on GA, two objectives which are maximizing correctly classified texts and minimizing selected terms are optimized. An objective function based on the classification per-formance of the SVM with 10-fold cross validation is used for evaluating each individual in GA. Therefore, GA-based term selection is performed aiming at the improvement in classification per-formance on testing text sets. This causes the performance deterioration over unseen texts in actual use by GA-based term selection because terms are deleted excessively even when such terms have important role for the classification. In this paper, relation between the terms deleted by the term se-lection based on GA and the terms which appears in unseen texts is clarified by numerical simulation results.
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DOI: --
发表时间: 2007
期刊: Proc.of 2007 IEEE/ICME International Conference on Complex Medical Engineering
影响因子: --
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