Linear penalization support vector machines for feature selectionMIRANDA, Jaime; MONTOYA, Ricardo; WEBER, Richard et al.Lecture notes in computer science. 2005, pp 188-192, issn 0302-9743, isbn 3-540-30506-8, 1Vol, 5 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

Estimation of high-density regions using one-class neighbor machinesMUNOZ, Alberto; MOGUERZA, Javier M.IEEE transactions on pattern analysis and machine intelligence. 2006, Vol 28, Num 3, pp 476-480, issn 0162-8828, 5 p.Article

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

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

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

Embracing and extending 20th-century instruction set architecturesGEBIS, Joe; PATTERSON, David.Computer (Long Beach, CA). 2007, Vol 40, Num 4, pp 68-75, issn 0018-9162, 8 p.Article

A new alpha seeding method for support vector machine trainingDU FENG; WENKANG SHI; HUAWEI GUO et al.Lecture notes in computer science. 2005, issn 0302-9743, isbn 3-540-28323-4, 3Vol, Part 1, 679-682Conference Paper

On the generalization of kernel machinesNAVARRETE, Pablo; DEL SOLAR, Javier Ruiz.Lecture notes in computer science. 2002, pp 24-39, issn 0302-9743, isbn 3-540-44016-X, 16 p.Conference Paper

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

Simplified PAC-Bayesian margin boundsMCALLESTER, David.Lecture notes in computer science. 2003, pp 203-215, issn 0302-9743, isbn 3-540-40720-0, 13 p.Conference Paper

Reliability evaluation using Monte Carlo simulation and Support Vector MachineROCCO SANSEVERINO, C. M; MORENO, J. A.Lecture notes in computer science. 2002, issn 0302-9743, isbn 3-540-43591-3, 3Vol, vol. 1, 147-155Conference Paper

Comparing support vector machines and feedforward neural networks with similar hidden-layer weightsROMERO, Enrique; TOPPO, Daniel.IEEE transactions on neural networks. 2007, Vol 18, Num 3, pp 959-963, issn 1045-9227, 5 p.Article

Multi-classification by using tri-class SVMANGULO, Cecilio; RUIZ, Francisco J; GONZALEZ, Luis et al.Neural processing letters. 2006, Vol 23, Num 1, pp 89-101, issn 1370-4621, 13 p.Article

Multi-kernel growing support vector regressorGUTIERREZ-GONZALEZ, D; PARRADO-HERNANDEZ, E; NAVIA-VAZQUEZ, A et al.Lecture notes in computer science. 2005, pp 357-365, issn 0302-9743, isbn 3-540-26208-3, 9 p.Conference Paper

Equivalence of classification and regression under support vector machine theoryCHUNGUO WU; YANCHUN LIANG; XIAOWEI YANG et al.Lecture notes in computer science. 2005, issn 0302-9743, isbn 3-540-28323-4, 3Vol, Part 3, 1257-1260Conference Paper