[1]CHEN Xiaohua,LIU Dalian,TIAN Yingjie,et al.Extension support vector classification machine[J].CAAI Transactions on Intelligent Systems,2018,13(1):147-151.[doi:10.11992/tis.201610019]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
13
Number of periods:
2018 1
Page number:
147-151
Column:
学术论文—智能系统
Public date:
2018-01-24
- Title:
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Extension support vector classification machine
- Author(s):
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CHEN Xiaohua1; LIU Dalian2; TIAN Yingjie3; LI Xingsen4
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1. Dean’s office, Beijing Union University, Beijing 100101, China;
2. Department of Basic Course Teaching, Beijing Union University, Beijing 100101, China;
3. Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beiji
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- Keywords:
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data mining; extension; classification; support vector machine; optimization; kernel function; prior knowledge; statistical learning theory
- CLC:
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TP181
- DOI:
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10.11992/tis.201610019
- Abstract:
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We propose an extension support vector machine (ESVM) to address the classification problem. Unlike the standard support vector machine, ESVM considers samples that can be converted into different labels by changing some feature values. We define the extension variables and extension classification problems and construct the corresponding optimization problem using a heuristic algorithm. In the future, we will improve the proposed method to incorporate the extension theory.