首页> 外国专利> DATA CLASSIFICATION LEARNING METHOD, DATA CLASSIFICATION METHOD, DATA CLASSIFICATION LEARNER, DATA CLASSIFIER, STORAGE MEDIUM WITH DATA CLASSIFICATION LEARNING PROGRAM RECORDED, AND RECORDING MEDIUM WITH DATA CLASSIFICATION PROGRAM RECORDED

DATA CLASSIFICATION LEARNING METHOD, DATA CLASSIFICATION METHOD, DATA CLASSIFICATION LEARNER, DATA CLASSIFIER, STORAGE MEDIUM WITH DATA CLASSIFICATION LEARNING PROGRAM RECORDED, AND RECORDING MEDIUM WITH DATA CLASSIFICATION PROGRAM RECORDED

机译:数据分类学习方法,数据分类方法,数据分类学习器,数据分类器,带有数据分类学习程序的存储介质,以及记录有数据分类程序的介质

摘要

PROBLEM TO BE SOLVED: To improve the accuracy of data classification of test data even if the number of training data is small. SOLUTION: If the number of data with a classification class is zero, or if the ratio of positive examples in training data excels the ratio of positive examples in test data with a classification class, a positive example is input as the classification class of an test data item with a maximum evaluation value by a final classifier out of test data with no classification class. If not, a negative example is input as the classification class of a test data item with minimum evaluation by the final classifier out of the test data with no classification class.
机译:要解决的问题:即使训练数据的数量很少,也要提高测试数据的数据分类的准确性。解决方案:如果分类类别的数据数为零,或者训练数据中阳性样本的比例超过具有分类类别的测试数据中阳性样本的比例,则输入阳性样本作为测试的分类类别最终分类器在没有分类类别的测试数据中具有最大评估值的数据项。如果不是,则在没有分类类别的测试数据中,输入否定示例作为最终分类器的评估最少的测试数据项的分类类别。

著录项

  • 公开/公告号JP2002133389A

    专利类型

  • 公开/公告日2002-05-10

    原文格式PDF

  • 申请/专利权人 NIPPON TELEGR & TELEPH CORP NTT;

    申请/专利号JP20000327153

  • 发明设计人 TAIRA HIROYORI;

    申请日2000-10-26

  • 分类号G06N3/00;

  • 国家 JP

  • 入库时间 2022-08-22 00:54:03

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