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SVDD-Based Method for Fast Training of Multi-class Support Vector ClassifierKANG, Woo-Sung; KI HONG IM; JIN YOUNG CHOI et al.Lecture notes in computer science. 2006, pp 991-996, issn 0302-9743, isbn 3-540-34439-X, 6 p.Conference Paper

SVM 2002 : pattern recognition with support vector machines (Niagara Falls, 10 August 2002)Seong-Whan Lee; Verri, Alessandro.Lecture notes in computer science. 2002, issn 0302-9743, isbn 3-540-44016-X, XI, 420 p, isbn 3-540-44016-XConference Proceedings

Support Vector machine classifiers for asymmetric proximitiesMUNOZ, Alberto; MARTIN DE DIEGO, Isaac; MOGUERZA, Javier M et al.Lecture notes in computer science. 2003, pp 217-224, issn 0302-9743, isbn 3-540-40408-2, 8 p.Conference Paper

Artificial aging of faces by Support Vector MachinesJIANNING WANG; LING, Charles X.Lecture notes in computer science. 2004, pp 499-503, issn 0302-9743, isbn 3-540-22004-6, 5 p.Conference Paper

The Novelty Detection Approach for Different Degrees of Class ImbalanceLEE, Hyoung-Joo; CHO, Sungzoon.Lecture notes in computer science. 2006, pp 21-30, issn 0302-9743, isbn 3-540-46479-4, 3Vol, 10 p.Conference Paper

ALT 2001 : algorithmic learning theory (Washington DC, 25-28 November 2001)Abe, Naoki; Khardon, Roni; Zeugmann, Thomas et al.Lecture notes in computer science. 2001, issn 0302-9743, isbn 3-540-42875-5, XI, 377 p, isbn 3-540-42875-5Conference Proceedings

Adapting kernels by variational approach in SVMGAO, Junbin; GUNN, Steve; KANDOLA, Jaz et al.Lecture notes in computer science. 2002, pp 395-406, issn 0302-9743, isbn 3-540-00197-2, 12 p.Conference Paper

Increasing the efficiency of support vector machine by simplifying the shape of separation hypersurfaceYIQIANG ZHAN; DINGGANG SHEN.Lecture notes in computer science. 2004, pp 732-738, issn 0302-9743, isbn 3-540-24127-2, 7 p.Conference Paper

Face detection based on cost-sensitive Support Vector MachinesYONG MA; XIAOQING DING.Lecture notes in computer science. 2002, pp 260-267, issn 0302-9743, isbn 3-540-44016-X, 8 p.Conference Paper

Normalization in Support Vector MachinesGRAF, Arnulf B. A; BORER, Silvio.Lecture notes in computer science. 2001, pp 277-282, issn 0302-9743, isbn 3-540-42596-9Conference Paper

Constant rate approximate maximum margin algorithmsTSAMPOUKA, Petroula; SHAWE-TAYLOR, John.Lecture notes in computer science. 2006, pp 437-448, issn 0302-9743, isbn 3-540-45375-X, 1Vol, 12 p.Conference Paper

Convergence of a new decomposition algorithm for support vector machinesWANG, Yan-Guo; HONG QIAO; BO ZHANG et al.Lecture notes in computer science. 2006, pp 303-308, issn 0302-9743, isbn 3-540-37274-1, 6 p.Conference Paper

Proximal SVM Ensemble Based on Feature SelectionXIAOYAN TAO; HONGBING JI; ZHIQIANG MA et al.Lecture notes in computer science. 2006, issn 0302-9743, isbn 3-540-45901-4, Vol1,135-138Conference Paper

Rotational prior knowledge for SVMsEPSHTEYN, Arkady; DEJONG, Gerald.Lecture notes in computer science. 2005, pp 108-119, issn 0302-9743, isbn 3-540-29243-8, 1Vol, 12 p.Conference Paper

Clifford Support Vector machines for classificationBAYRO-CORROCHANO, Eduardo; ARANA-DANIEL, Nancy; VALLEJO-GUTIERRES, J. Refugio et al.Lecture notes in computer science. 2004, pp 9-16, issn 0302-9743, isbn 3-540-22123-9, 8 p.Conference Paper

Incremental and decremental proximal support vector classification using decay coefficientsTVEIT, Amund; HETLAND, Magnus Lie; ENGUM, Havard et al.Lecture notes in computer science. 2003, pp 422-429, issn 0302-9743, isbn 3-540-40807-X, 8 p.Conference Paper

The equivalence of support vector machine and regularization mural networksANDRAS, Peter.Neural processing letters. 2002, Vol 15, Num 2, pp 97-104, issn 1370-4621Article

Support vector machines: Theory and applicationsEVGENIOU, Theodoros; PONTIL, Massimiliano.Machine learning and its applications. Lecture notes in computer science. 2001, pp 249-257, issn 0302-9743, isbn 3-540-42490-3Book Chapter

Neural network realization of support vector methods for pattern classificationYING TAN; YOUSHEN XIA; JUN WANG et al.IEEE-INNS-ENNS international joint conference on neural networks. 2000, pp Vol6.411-416, isbn 0-7695-0619-4, 6VolConference Paper

Maximum-margin classification of sequential data with infinitely-long temporal dependencies [Exp. Syst. Appl. 40 (11) (2013) 4519―4527]: CorrigendumCHATZIS, Sotirios P.Expert systems with applications. 2013, Vol 40, Num 17, issn 0957-4174, p. 6713Article

A comparison of model selection methods for multi-class support vector machinesHUAQING LI; FEIHU QI; SHAOYU WANG et al.Lecture notes in computer science. 2005, issn 0302-9743, isbn 3-540-25860-4, 4Vol, part IV, 1140-1148Conference Paper

Learning SVM kernel with semi-definite programmingSHUZHONG YANG; SIWEI LUO.Lecture notes in computer science. 2005, issn 0302-9743, isbn 3-540-28323-4, 3Vol, Part 1, 710-715Conference Paper

Feature selection for fast image classification with support vector machinesFAN, Zhi-Gang; WANG, Kai-An; LU, Bao-Liang et al.Lecture notes in computer science. 2004, pp 1026-1031, issn 0302-9743, isbn 3-540-23931-6, 6 p.Conference Paper

Protein structural class determination using Support Vector MachinesISIK, Zerrin; YANIKOGLU, Berrin; SEZERMAN, Ugur et al.Lecture notes in computer science. 2004, pp 82-89, issn 0302-9743, isbn 3-540-23526-4, 8 p.Conference Paper

Hybrid architecture based on support vector machinesNUNEZ, Haydemar; ANGULO, Cecilio; CATALA, Andreu et al.Lecture notes in computer science. 2003, pp 646-653, issn 0302-9743, isbn 3-540-40210-1, 8 p.Conference Paper

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