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基于TRIP的全文检索系统的应用及研究 被引量:1
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作者 杨恒宇 余嵘华 《电脑知识与技术》 2012年第9期5962-5964,共3页
介绍在对TRIP全文数据库系统和中文切词有关技术研究分析的基础上,开发J2EE架构下基于TRIP的全文检索系统。该全文检索系统在WEB环境下运行,具有跨平台性。
关键词 TRIP 中英文全文检索 中文切词 倒排文件
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Regularized canonical correlation analysis with unlabeled data 被引量:1
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作者 Xi-chuan ZHOU Hai-bin SHEN 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2009年第4期504-511,共8页
In standard canonical correlation analysis (CCA), the data from definite datasets are used to estimate their canonical correlation. In real applications, for example in bilingual text retrieval, it may have a great po... In standard canonical correlation analysis (CCA), the data from definite datasets are used to estimate their canonical correlation. In real applications, for example in bilingual text retrieval, it may have a great portion of data that we do not know which set it belongs to. This part of data is called unlabeled data, while the rest from definite datasets is called labeled data. We propose a novel method called regularized canonical correlation analysis (RCCA), which makes use of both labeled and unlabeled samples. Specifically, we learn to approximate canonical correlation as if all data were labeled. Then, we describe a generalization of RCCA for the multi-set situation. Experiments on four real world datasets, Yeast, Cloud, Iris, and Haberman, demonstrate that, by incorporating the unlabeled data points, the accuracy of correlation coefficients can be improved by over 30%. 展开更多
关键词 Canonical correlation analysis (CCA) REGULARIZATION Unlabeled data Generalized canonical correlation analysis(GCCA)
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