Transductive Support Vector Machine for Personal Inboxes Spam Categorization
更新时间：2019-05-21
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作者联系方式：School of Computer Science and Engineer,Beihang University,Beijing 100083,China
会议名称：2007年计算智能与安全国际会议
会议地点：哈尔滨
召开年：2007
摘要：A method based on transductive support vector machine for personalized spam filtering is proposed.Both labeled emails from the public available source and unlabeled emails in individual inbox are used as the input of the classifier.The problem of the generalizing the training data to the test data in SVM is solved.It provides a way to combine the ability of generalization and adaptation for the spam categorization.The model and parameter selection is stated in order to improve the performance of TSVM.The experiments show that the results of filtering with TSVM are better than the SVM.
