{"title":"A training algorithm of computational verb decision trees","authors":"Juanjuan Sun, Tao Yang","doi":"10.1109/ICASID.2010.5551334","DOIUrl":null,"url":null,"abstract":"In this paper, an algorithm of learning computational verb decision trees (verb trees, for short) from training examples base on impact factors, which are calculated by using computational verb similarities, is presented. Some examples are used to show the creation of verb decision tree and the usefulness of verb decision trees. Examples are used to show that verb decision trees are powerful tools to generalize and extract knowledge from both historical records and Boolean logical records","PeriodicalId":391931,"journal":{"name":"2010 International Conference on Anti-Counterfeiting, Security and Identification","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Anti-Counterfeiting, Security and Identification","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASID.2010.5551334","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, an algorithm of learning computational verb decision trees (verb trees, for short) from training examples base on impact factors, which are calculated by using computational verb similarities, is presented. Some examples are used to show the creation of verb decision tree and the usefulness of verb decision trees. Examples are used to show that verb decision trees are powerful tools to generalize and extract knowledge from both historical records and Boolean logical records
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