中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Minimal consistent subset for hyper surface classification method

文献类型:期刊论文

作者He, Qing; Zhao, Xiu-Rong; Shi, Zhong-Zhi
刊名International journal of pattern recognition and artificial intelligence
出版日期2008-02-01
卷号22期号:1页码:95-108
关键词Hyper surface classification (hsc) Minimal consistent subset (mcs) Sampling Generalization ability
ISSN号0218-0014
通讯作者He, qing(heq@ics.ict.ac.cn)
英文摘要Hyper surface classification (hsc), which is based on jordan curve theorem in topology, has proven to be a simple and effective method for classifying a larger database in our previous work. to select a representative subset from the original sample set, the minimal consistent subset (mcs) of hsc is studied in this paper. for hsc method, one of the most important features of mcs is that it has the same classification model as the entire sample dataset, and can totally reflect its classification ability. from this point of view, mcs is the best way of sampling from the original dataset for hsc. furthermore, because of the minimum property of mcs, every single deletion or multiple deletions from it will lead to a reduction in generalization ability, which can be exactly predicted by the proposed formula in this paper.
WOS关键词NEAREST-NEIGHBOR RULE ; TABU SEARCH ; CLASSIFIERS ; SELECTION ; SET
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
语种英语
WOS记录号WOS:000254194700008
出版者WORLD SCIENTIFIC PUBL CO PTE LTD
URI标识http://www.irgrid.ac.cn/handle/1471x/2389534
专题中国科学院大学
通讯作者He, Qing
作者单位1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Grad Univ, Beijing 100039, Peoples R China
推荐引用方式
GB/T 7714
He, Qing,Zhao, Xiu-Rong,Shi, Zhong-Zhi. Minimal consistent subset for hyper surface classification method[J]. International journal of pattern recognition and artificial intelligence,2008,22(1):95-108.
APA He, Qing,Zhao, Xiu-Rong,&Shi, Zhong-Zhi.(2008).Minimal consistent subset for hyper surface classification method.International journal of pattern recognition and artificial intelligence,22(1),95-108.
MLA He, Qing,et al."Minimal consistent subset for hyper surface classification method".International journal of pattern recognition and artificial intelligence 22.1(2008):95-108.

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来源:中国科学院大学

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