메뉴 건너뛰기




Volumn 17, Issue 4, 2013, Pages 649-664

Extending twin support vector machine classifier for multi-category classification problems

Author keywords

machine learning; multicategory twin support machine classifiers; multicatigory data classification; pattern recognition; support vector machines; Twin support vector machines

Indexed keywords

BINARY CLASSIFICATION PROBLEMS; DATA CLASSIFICATION; MULTI-CATEGORY CLASSIFICATION PROBLEMS; MULTICATEGORY; NON-PARALLEL HYPERPLANES; QUADRATIC PROGRAMMING PROBLEMS; TWIN SUPPORT VECTOR MACHINES; UCI MACHINE LEARNING REPOSITORY;

EID: 84881434004     PISSN: 1088467X     EISSN: 15714128     Source Type: Journal    
DOI: 10.3233/IDA-130598     Document Type: Article
Times cited : (59)

References (34)
  • 3
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C.J.C. Burges, A tutorial on support vector machines for pattern recognition, Data Mining and Knowledge Discovery 2 (1998), 121-167. (Pubitemid 128695475)
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 6
    • 59149098920 scopus 로고    scopus 로고
    • Associated evolution of a support vector machine-based classifier for pedestrian detection
    • X.B. Cao, Y.W. Xu, D. Chen and H. Qiao, Associated evolution of a support vector machine-based classifier for pedestrian detection, Information Sciences 179 (2009), 1070-1077.
    • (2009) Information Sciences , vol.179 , pp. 1070-1077
    • Cao, X.B.1    Xu, Y.W.2    Chen, D.3    Qiao, H.4
  • 8
    • 0041589566 scopus 로고    scopus 로고
    • Support vector interval regression networks for interval regression analysis
    • J.T. Jeng, C.C. Chuang and S.F. Su, Support vector interval regression networks for interval regression analysis, fuzzy sets and systems 138 (2003), 283-300.
    • (2003) Fuzzy Sets and Systems , vol.138 , pp. 283-300
    • Jeng, J.T.1    Chuang, C.C.2    Su, S.F.3
  • 9
    • 84957069814 scopus 로고    scopus 로고
    • Text Categorization with Support Vector Machines: Learning with many Relevant Features
    • Machine Learning: ECML-98
    • T. Joachims, C. Ndellec and C. Rouveriol, Text categorization with support vector machines learning with many relevant features, in: Proceedings of European Conference on Machine Learning, Chemnitz, Germany (1998), 137-142. (Pubitemid 128067178)
    • (1998) Lecture Notes in Computer Science , Issue.1398 , pp. 137-142
    • Joachims, T.1
  • 12
    • 44949157443 scopus 로고    scopus 로고
    • SSVM a smooth support vector machine for classification
    • Technical Report 99-03 data mining institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, September
    • Y.J. Lee and O.L. Mangasarian, SSVM a smooth support vector machine for classification, Technical Report 99-03 data mining institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, September 1999, Computational Optimazation and Applications, ftp//ftp.cs.wisc.edu/pub/dmi/tech- reports/99-03.ps.
    • (1999) Computational Optimazation and Applications
    • Lee, Y.J.1    Mangasarian, O.L.2
  • 13
    • 0041414854 scopus 로고    scopus 로고
    • RSVMreduced support vector machines
    • Technical Report 00-07, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, July, Chicago (5-7 April), CD-ROM
    • Y.J. Lee and O.L. Mangasarian, RSVMreduced support vector machines, Technical Report 00-07, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, July 2000, In Proceedings of the First SIAM International Conference on Data Mining, Chicago (5-7 April 2001), CD-ROM.
    • (2000) Proceedings of the First SIAM International Conference on Data Mining
    • Lee, Y.J.1    Mangasarian, O.L.2
  • 14
  • 15
    • 0035789613 scopus 로고    scopus 로고
    • Proximal support vector machine classifiers
    • F. provost and R. Srikant, eds, San Francisco, CA, New York Association for computing Machinery
    • G. Fun and O.L. Mangasarian, Proximal support vector machine classifiers, in: Proceedings KDD-2001 Knowledge Discovery and Data Mining, F. provost and R. Srikant, eds, San Francisco, CA, New York Association for computing Machinery, ftp//ftp.cs.wisc.edu/ pub/dmi/tech-reports/01-02.ps, 2001, pp. 77-86.
    • (2001) Proceedings KDD-2001 Knowledge Discovery and Data Mining , pp. 77-86
    • Fun, G.1    Mangasarian, O.L.2
  • 16
    • 33644830072 scopus 로고    scopus 로고
    • Multisurface proximal support vector machine classification via generalized eigenvalues
    • DOI 10.1109/TPAMI.2006.17
    • O.L. Mangasarian and E.W.Wild,Multisurface proximal support vector classification via generalized eigenvalues, IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (2006), 69-74. (Pubitemid 46395305)
    • (2006) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.28 , Issue.1 , pp. 69-74
    • Mangasarian, O.L.1    Wild, E.W.2
  • 18
    • 48649097170 scopus 로고    scopus 로고
    • Application of smoothing technique on twin support vector machines
    • M.A. Kumar and M. Gopal, Application of smoothing technique on twin support vector machines, Pattern Recognition Letter 29 (2008), 1842-1848.
    • (2008) Pattern Recognition Letter , vol.29 , pp. 1842-1848
    • Kumar, M.A.1    Gopal, M.2
  • 19
    • 60249095678 scopus 로고    scopus 로고
    • Least squares twin support vector machines for pattern classification
    • M.A. Kumar and M. Gopal, Least squares twin support vector machines for pattern classification, Expert Systems with Applications 36 (2009), 7535-7543.
    • (2009) Expert Systems with Applications , vol.36 , pp. 7535-7543
    • Kumar, M.A.1    Gopal, M.2
  • 21
    • 69249202291 scopus 로고    scopus 로고
    • Newton's method for nonparallel plane proximal classifier with unity norm hyperplanes
    • S. Ghorai, S.J. Hossain, P.K. Dutta and A. Mukherjee, Newton's method for nonparallel plane proximal classifier with unity norm hyperplanes, Signal Processing 90 (2010), 93-104.
    • (2010) Signal Processing , vol.90 , pp. 93-104
    • Ghorai, S.1    Hossain, S.J.2    Dutta, P.K.3    Mukherjee, A.4
  • 22
    • 76849100708 scopus 로고    scopus 로고
    • TSVR an effcient twin support vector machine for regression
    • X. Peng, TSVR an effcient twin support vector machine for regression, Neural Networks 23 (2010), 365-372.
    • (2010) Neural Networks , vol.23 , pp. 365-372
    • Peng, X.1
  • 24
    • 0001254045 scopus 로고    scopus 로고
    • Multi-class support vector machines
    • M. Verleysen, ed., Brussels, Belgium
    • J. Weston and C. Watkins, Multi-class support vector machines, Proceedings ESANN99, M. Verleysen, ed., Brussels, Belgium, 1999.
    • (1999) Proceedings ESANN99
    • Weston, J.1    Watkins, C.2
  • 25
    • 0000406788 scopus 로고
    • Solving multiclass learning problems via error-correcting output codes
    • T.G. Dietterich and G. Bakiri, Solving multiclass learning problems via error-correcting output codes, Joural of Artificial Itelligence Research 2 (1995) 263-286.
    • (1995) Joural of Artificial Itelligence Research , vol.2 , pp. 263-286
    • Dietterich, T.G.1    Bakiri, G.2
  • 28
    • 21244486307 scopus 로고    scopus 로고
    • Multicategory proximal support vector machine classifiers
    • DOI 10.1007/s10994-005-0463-6
    • G. Fun and O.L. Mangasarian, Multicategory proximal support vector machine classifiers, Machine Learning 59 (2005), 77-97. (Pubitemid 40890413)
    • (2005) Machine Learning , vol.59 , Issue.1-2 , pp. 77-97
    • Fung, G.M.1    Mangasarian, O.L.2
  • 31
    • 10344230931 scopus 로고    scopus 로고
    • Fast and robust learning through fuzzy linear proximal support vector machines
    • DOI 10.1016/j.neucom.2004.02.004, PII S0925231204001997
    • J.R. Khemchandani and S. Chandra, Fast and robust learning through fuzzy linear proximal support vector machines, Neurocomputing 61 (2004), 401-411. (Pubitemid 39625017)
    • (2004) Neurocomputing , vol.61 , Issue.1-4 , pp. 401-411
    • Jayadeva, A.1    Khemchandani, R.2    Chandra, S.3
  • 32
    • 79955641166 scopus 로고    scopus 로고
    • UCI Machine learning repository
    • Irvine, CA: University of California
    • A. Frank and A. Asuncion, UCI Machine learning repository, [http://archive.ics.uci.edu/ml], Irvine, CA: University of California, School of Information and Computer Sciences (2010).
    • (2010) School of Information and Computer Sciences
    • Frank, A.1    Asuncion, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.