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	SUPPORT VECTOR BASED METHOD FOR ACQUIRING DOMAIN SPECIFIC PATENTS
	Wang, Chen ; Li, Su-Jian
	2009
关键词	Support vector regression Patent classification Domain specification REGRESSION
英文摘要	Patents classification is useful in the management and some other utilities of patent. In this paper, semi-automatic patent classification system was used to solve the problem. Thus, the classification model was built to filter some domain irrelative patents. Because of different optimization target, regression model was used instead of classification model. The goal of the system is filter more domain irrelative patents while remains more domain relative patents. The experimental results demonstrate that an ideal performance could be reached through the adjustment of threshold.; Automation & Control Systems; Computer Science, Artificial Intelligence; Computer Science, Cybernetics; EI; CPCI-S(ISTP); 0
语种	英语
DOI标识	10.1109/ICMLC.2009.5212764
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/261028]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Wang, Chen,Li, Su-Jian. SUPPORT VECTOR BASED METHOD FOR ACQUIRING DOMAIN SPECIFIC PATENTS. 2009-01-01.

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