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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

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

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

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

Twin support vector machine with Universum dataZHIQUAN QI; YINGJIE TIAN; YONG SHI et al.Neural networks. 2012, Vol 36, pp 112-119, issn 0893-6080, 8 p.Article

Forecasting S&P500 Index Movement with Support Vector MachinesROSILLO, R; DE LA FUENTE, D; BRUGOS, J. A. L et al.Artificial intelligence. International conferenceWorldComp'2011. 2011, pp 648-653, isbn 1-60132-183-X 1-60132-184-8 1-60132-185-6, 6 p.Conference Paper

A Comparison of Tools for Detecting Fake WebsitesABBASI, Ahmed; CHEN, Hsinchun.Computer (Long Beach, CA). 2009, Vol 42, Num 10, pp 78-86, issn 0018-9162, 9 p.Article

A Novel Method for Rapid Speaker Adaptation Using Reference Support Speaker SelectionJIAN WANG; ZHEN YANG; JIANJUN LEI et al.Lecture notes in computer science. 2006, pp 450-456, issn 0302-9743, isbn 3-540-49667-X, 1Vol, 7 p.Conference 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

Learning using privileged information: SVM+ and weighted SVMLAPIN, Maksim; HEIN, Matthias; SCHIELE, Bernt et al.Neural networks. 2014, Vol 53, pp 95-108, issn 0893-6080, 14 p.Article

Generalization performance of support vector classifiers for density level detectionHONG CHEN; YICONG ZHOU; YI TANG et al.Neurocomputing (Amsterdam). 2013, Vol 119, pp 434-438, issn 0925-2312, 5 p.Article

pathClass: an R-package for integration of pathway knowledge into support vector machines for biomarker discoveryJOHANNES, Marc; FRÖHLICH, Holger; SÜLTMANN, Holger et al.Bioinformatics (Oxford. Print). 2011, Vol 27, Num 10, pp 1442-1443, issn 1367-4803, 2 p.Article

Proteochemometric Recognition of Stable Kinase Inhibition Complexes Using Topological Autocorrelation and Support Vector MachinesFEMANDEZ, Michael; AHMAD, Shandar; SARAI, Akinori et al.Journal of chemical information and modeling. 2010, Vol 50, Num 6, pp 1179-1188, issn 1549-9596, 10 p.Article

A New Method for Crude Oil Price Forecasting Based on Support Vector MachinesWEN XIE; LEAN YU; SHANYING XU et al.Lecture notes in computer science. 2006, pp 444-451, issn 0302-9743, isbn 3-540-34379-2, 8 p.Conference Paper

Improving SVM-Linear Predictions Using CART for Example SelectionMOREIRA, Joao M; JORGE, Alipio M; SOARES, Carlos et al.Lecture notes in computer science. 2006, pp 632-641, issn 0302-9743, isbn 3-540-45764-X, 1Vol, 10 p.Conference Paper

Predicting post-translational lysine acetylation using support vector machinesGNAD, Florian; SHUBIN REN; CHOUDHARY, Chunaram et al.Bioinformatics (Oxford. Print). 2010, Vol 26, Num 13, pp 1666-1668, issn 1367-4803, 3 p.Article

NARX Identification of Hammerstein Systems Using Least-Squares Support Vector MachinesGOETHALS, Ivan; PELCKMANS, Kristiaan; FALCK, Tillmann et al.Block-oriented nonlinear system identification. Lecture notes in control and information sciences. 2010, Vol 404, pp 241-258, issn 0170-8643, isbn 978-1-84996-512-5, 1Vol, 18 p.Book Chapter

Classification with support hyperplanesNALBANTOV, Georgi I; BIOCH, Jail C; GROENEN, Patrick J. F et al.Lecture notes in computer science. 2006, pp 703-710, issn 0302-9743, isbn 3-540-45375-X, 1Vol, 8 p.Conference Paper

Cooperative Clustering for Training SVMsSHENGFENG TIAN; SHAOMIN MU; CHUANHUAN YIN et al.Lecture notes in computer science. 2006, pp 962-967, issn 0302-9743, isbn 3-540-34439-X, 6 p.Conference Paper

Hypersphere Support Vector Machines Based on Multiplicative UpdatesQING WU; SANYANG LIU; LEYOU ZHANG et al.Lecture notes in computer science. 2006, issn 0302-9743, isbn 3-540-45901-4, Vol1, 1-4Conference Paper

Adaptive feature selection via a new version of support vector machineJUNYAN TAN; ZHIQIANG ZHANG; LING ZHEN et al.Neural computing & applications (Print). 2013, Vol 23, Num 3-4, pp 937-945, issn 0941-0643, 9 p.Article

Geometric algorithms for parametric-margin v-support vector machineXINJUN PENG; DONG XU.Neurocomputing (Amsterdam). 2013, Vol 99, pp 197-205, issn 0925-2312, 9 p.Article

An extension to fuzzy support vector data description (FSVDD)FORGHANI, Y; SADOGHI YAZDI, H; EFFATI, S et al.Pattern analysis and applications (Print). 2012, Vol 15, Num 3, pp 237-247, issn 1433-7541, 11 p.Article

Structural Regularized Support Vector Machine: A Framework for Structural Large Margin ClassifierHUI XUE; SONGCAN CHEN; QIANG YANG et al.IEEE transactions on neural networks. 2011, Vol 22, Num 4, pp 573-587, issn 1045-9227, 15 p.Article

A new local-global approach for classificationPERES, R. T; PEDREIRA, C. E.Neural networks. 2010, Vol 23, Num 7, pp 887-891, issn 0893-6080, 5 p.Article

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