{"title":"Protein-protein interaction extraction based on actively transfer learning","authors":"Lishuang Li, Jieqiong Zheng, Dingxin Song, Rui Guo, Degen Huang","doi":"10.1109/BIBM.2015.7359936","DOIUrl":null,"url":null,"abstract":"In this paper, we present an actively transfer learning framework to extract PPI. Experimental results show that the proposed ActTrAdaBoost method performs much better than the baseline SVM and the original transfer learning method. In PPIE transfer learning task, our ActTrAdaBoost method presents better performance.","PeriodicalId":186217,"journal":{"name":"2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBM.2015.7359936","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, we present an actively transfer learning framework to extract PPI. Experimental results show that the proposed ActTrAdaBoost method performs much better than the baseline SVM and the original transfer learning method. In PPIE transfer learning task, our ActTrAdaBoost method presents better performance.
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