다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기
Neurocomputing, v.313, 2018년, pp.196 - 205
de Lima, Márcio Dias (Instituto de Informá) , Costa, Nattane Luiza (tica, Universidade Federal de Goiá) , Barbosa, Rommel (s)
AI-Helper
Abstract Recently, least squares twin multi-class support vector machine (LSTKSVC) was proposed as a least squares version of twin multi-class classification support vector machine (Twin-KSVC), both based on twin support vector machine (TWSVM). In this paper, we propose a novel multi-class classifi...
Boser 144 1992 Proceedings of the Fifth Annual Workshop on Computational Learning Theory A training algorithm for optimal margin classifiers
Mach. Learn. Cortes 20 3 273 1995 10.1007/BF00994018 Support-vector networks
Vapnik 2013 The Nature of Statistical Learning Theory
Vapnik 1998 Statistical Learning Theory
Ripley 2007 Pattern Recognition and Neural Networks
Cognit. Comput. Xu 5 4 580 2013 10.1007/s12559-012-9179-7 A twin multi-class classification support vector machine
Neural Comput. Appl. Yang 22 1 153 2013 10.1007/s00521-012-1108-x Multiple birth support vector machine for multi-class classification
IEEE Trans. Pattern Anal. Mach. Intell. Mangasarian 28 1 69 2006 10.1109/TPAMI.2006.17 Multisurface proximal support vector machine classification via generalized eigenvalues
Int. J. Mach. Learn. Cybernet. Yang 7 3 411 2016 10.1007/s13042-015-0394-x Least squares recursive projection twin support vector machine for multi-class classification
IEEE Trans. Pattern Anal. Mach. Intell. Jayadeva 29 5 905 2007 10.1109/TPAMI.2007.1068 Twin support vector machines for pattern classification
Neural Netw. IEEE Trans. Shao 22 6 962 2011 10.1109/TNN.2011.2130540 Improvements on twin support vector machines
Neural Comput. Appl. Xu 21 6 1307 2012 10.1007/s00521-011-0565-y A rough margin-based ν-twin support vector machine
Pattern Recognit. Qi 46 1 305 2013 10.1016/j.patcog.2012.06.019 Robust twin support vector machine for pattern classification
Expert Syst. Appl. Kumar 36 4 7535 2009 10.1016/j.eswa.2008.09.066 Least squares twin support vector machines for pattern classification
Pattern Recognit. Chen 44 10 2643 2011 10.1016/j.patcog.2011.03.001 Recursive projection twin support vector machine via within-class variance minimization
Neural Netw. Peng 23 3 365 2010 10.1016/j.neunet.2009.07.002 Tsvr: an efficient twin support vector machine for regression
IEEE Trans. Neural Netw. Mangasarian 10 5 1032 1999 10.1109/72.788643 Successive overrelaxation for support vector machines
Appl. Intell. Tanveer 45 1 174 2016 10.1007/s10489-015-0751-1 Robust energy-based least squares twin support vector machines
Cognit. Comput. Tanveer 7 1 137 2015 10.1007/s12559-014-9278-8 Robust and sparse linear programming twin support vector machines
Knowl. Inf. Syst. Tanveer 45 1 191 2015 10.1007/s10115-014-0786-3 Application of smoothing techniques for linear programming twin support vector machines
Appl. Intell. Shao 39 3 451 2013 10.1007/s10489-013-0423-y Least squares twin parametric-margin support vector machine for classification
Pattern Recognit. Shao 45 6 2299 2012 10.1016/j.patcog.2011.11.028 Least squares recursive projection twin support vector machine for classification
Pattern Recognit. Nasiri 48 3 984 2015 10.1016/j.patcog.2014.09.020 Least squares twin multi-class classification support vector machine
Int. J. Mach. Learn. Cybernet. Zhang 7 2 241 2016 10.1007/s13042-015-0435-5 Multi-class lstmsvm based on optimal directed acyclic graph and shuffled frog leaping algorithm
Neurocomputing Zhang 225 119 2017 10.1016/j.neucom.2016.11.006 An improved multiple birth support vector machine for pattern classification
Int. J. Mach. Learn. Cybernet. Li 7 5 729 2016 10.1007/s13042-014-0289-2 Multiple recursive projection twin support vector machine for multi-class classification
Neurocomputing Angulo 55 1 57 2003 10.1016/S0925-2312(03)00435-1 K-svcr. a support vector machine for multi-class classification
D. Dheeru, E. Karra Taniskidou, UCI Machine Learning Repository, 2017. http://archive.ics.uci.edu/ml
Data Min. Knowl. Discov. Burges 2 2 121 1998 10.1023/A:1009715923555 A tutorial on support vector machines for pattern recognition
Cristianini 2000 An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
Haykin vol. 3 2009 Neural Networks and Learning Machines
Fung 77 2001 Proceedings of the Knowledge Discovery and Data Mining Proximal support vector machine classifiers
Baltimore, MD, USA Golub 374 1996 Matrix computations. 1996, Johns Hopkins University, Press
Neurocomputing Xu 205 430 2016 10.1016/j.neucom.2016.04.024 K-nearest neighbor-based weighted multi-class twin support vector machine
Scand. J. Stat. Holm 65 1979 A simple sequentially rejective multiple test procedure
J. Mach. Learn. Res. Dem？ar 7 Jan 1 2006 Statistical comparisons of classifiers over multiple data sets
Neurocomputing Ding 225 157 2017 10.1016/j.neucom.2016.11.026 Wavelet twin support vector machines based on glowworm swarm optimization
Appl. Intell. Wang 48 4 1041 2018 10.1007/s10489-017-0984-2 An improved ν-twin bounded support vector machine
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
Copyright KISTI. All Rights Reserved.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.