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Search method and system according to the multi-instance learning

机译:根据多实例学习的搜索方法和系统

摘要

PROBLEM TO BE SOLVED: To disclose a search method and system by multi-instance learning.;SOLUTION: Disclosed is a search method including: acquiring a training package including a positive training package and a training instance in the training packages; generating a weight in each training instance in the positive training package; acquiring, as for all instances in the training package and a test package, a sort score in each test instance by using the weight of each training instance in the positive training package; specifying the sort scores of each test package on the basis of the sort score of each test instance in the test package; and specifying a search result on the basis of the sort scores of the test package, and the absolute size of the weight indicates an extent to which the lookup word meaning of a user can be expressed by the corresponding training instance. Thus, it is possible to much more sufficiently use information provided by the instance in the positive training package, and to improve search performance.;COPYRIGHT: (C)2013,JPO&INPIT
机译:解决的问题:通过多实例学习公开一种搜索方法和系统。解决方案:公开了一种搜索方法,包括:获得训练包,包括肯定的训练包和训练包中的训练实例;在肯定培训包中的每个培训实例中产生权重;对于训练包和测试包中的所有实例,通过使用肯定训练包中的每个训练实例的权重获取每个测试实例中的排序分数;根据测试包中每个测试实例的排序得分,指定每个测试包的排序得分;根据测试包的分类得分,指定搜索结果,权重的绝对大小表示相应的训练实例可以表达用户的查询词含义的程度。因此,有可能在正向训练包中更充分地使用实例提供的信息,并提高搜索性能。;版权所有:(C)2013,JPO&INPIT

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