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《Journal of Computer Research and Development》 2004-09
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Confidence Learning Machine Based on Algorithmic Theory of Randomness and Dissimilarity Description

QIU De Hong, CHEN Chuan Bo, and JIN Xian Ji (College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074)  
A confidence learning machine is put forward based on Kolmogorov's algorithmic theory of randomness and its algorithm is designed It is proved that the computable randomness test function, which is defined through the sample dissimilarity description function, has the same meaning of the non computable randomness test function defined in Kolmogorov's theory Three types of dissimilarity description functions are designed through describing the dissimilarity of the sample distance, the support degree of the sample on the boundary, and the response of the sample They are used to realize the confidence learning machine algorithm Good results are obtained for the confidence learning machines in the experiment of the recognition of Cleveland heart data and the verification of handwritten signatures
【Fund】: 华中科技大学“引进人才”基金项目 (A183 170 )
【CateGory Index】: TP181
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【References】
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【Citations】
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1 QIU De-Hong, CHEN Chuan-Bo, JIN Xian-Ji, and CHEN Gao (College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074);A STUDY OF THE STABILITY OF SIGNATURE FEATURES BY NONLINEAR LOCAL OPTIMAL TIME WARPING[J];Journal of Computer Research and Development;2002-10
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【Co-citations】
Chinese Journal Full-text Database 8 Hits
1 QIU De-hong,PAN Xin-xin,CHEN Chuan-bo(School of Software Engineering,Huazhong University of Science and Technology,Wuhan,Hubei 430074,China);Multi-Scale Sequence Spectrum Kernel Optimization Through SDP for Signature Verification[J];Acta Electronica Sinica;2008-S1
2 TAN Xian-Sheng1,2,YUAN Zhe-Ming1,ZHOU Tie-Jun2,WANG Chun-Juan1,XIONG Jie-Yi1(1.College of Bio-safety Science and Technology,2.College of Science,Hunan Agricultural University,Changsha 410128,China);Multi-KNN-SVR Combinatorial Forecast and Its Application to QSAR of Fluorine-Containing Compounds[J];Chemical Journal of Chinese Universities;2008-01
3 Liu Ming1,2, Yuan Baozong1, Miao Zhenjiang1, Tang Xiaofang1, and Li Kunlun21 (Institute of Information Science, Beijing Jiaotong University, Beijing 100044)2(College of Electronic and Information Engineering, Hebei University, Baoding, Hebei 071002);Transformation from Local Accuracy to Classification Confidence[J];Journal of Computer Research and Development;2008-09
4 TAN Xian-shen~(1,2) YUAN Zhe-ming~(1Δ) ZHOU Tie-jun~2 XIONG Jie-yi~1 WANG Chnn-juan~1 (1 Bio-safety Science and Technology College,Hunan Agricultural University,Changsha 410128,China;2 College of Science,Hunan Agricultural University,Changsha 410128,China);Classification of Protein Quaternary Structure based on Support Vector Machines and Combinatorial Forecast[J];Progress in Modern Biomedicine;2008-04
5 Wang Fei Li Zaiming (Institute of communication and information, USET of China, Chengdu 610054);Recognition of Moving Object Nameplate by Adaptive Combination of Classifiers[J];Signal Processing;2004-04
6 QIU De-hong, CHEN Chuan-bo, JIN Xian-ji (College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China);Confidence Support Vector Machine Based on Algorithmic Theory of Randomness and its Application on Signature Verification[J];Mini-micro Systems;2004-12
7 QIU De-hong1, CHEN Chuan-bo1, JIN Xian-ji21 (School of Software Engineering, Huazhong University of Science and Technology, Wuhan 430074,China)2 (College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China);Signature Verification Based on Characteristic Parts of Signing Signal Through Warp Rectifying and Effect Balancing[J];Journal of Chinese Computer Systems;2006-10
8 QIU De-hong,PAN Xin-xin,CHEN Chuan-bo,FANG Shao-hong(School of Software Engineering,Huazhong University of Science and Technology,Wuhan 430074,China);Sequence Classification Based on Feature Subsequence Optimized Through Semidefinite Program[J];Journal of Chinese Computer Systems;2008-11
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