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SVMTorch

swMATH ID: 12121
Software Authors: Coolobert, Ronan; Bengio, Samy
Description: SVMTorch: Support vector machines for large-scale regression problems. Support Vector Machines (SVMs) for regression problems are trained by solving a quadratic optimization problem which needs on the order of l2 memory and time resources to solve, where l is the number of training examples. In this paper, we propose a decomposition algorithm, SVMTorch, which is similar to SVM-Light proposed by T. Joachims [“Making large-scale support vector machine learning practical”, in: B. Schölkopf, C. Burges, and A. Smola (eds.), Advances in kernel methods. London: MIT Press (1998; Zbl 0935.68084)] for classification problems, but adapted to regression problems. With this algorithm, one can now efficiently solve large-scale regression problems (more than 20000 examples). Comparisons with Nodelib, another publicly available SVM algorithm for large-scale regression problems from G. Flake and S. Lawrence [Mach. Learn. 46, 271–290 (2002; Zbl 0998.68107)] yielded significant time improvements. Finally, based on a recent paper from C. Lin [On the convergence of the decomposition method for support vector machines (Tech. Rep.). National Taiwan University (2000)], we show that a convergence proof exists for our algorithm.
Homepage: http://bengio.abracadoudou.com/SVMTorch.html
Keywords: SVM-Light; Nodelib
Related Software: UCI-ml; LIBSVM; SVMlight; GPDT; LOQO; RSVM; CONV_QP; C4.5; ElemStatLearn; AdaBoost.MH; MINOS; Matlab; OOQP; MNIST; R; e1071; CRIO; SSVM; Pegasos; Bow
Cited in: 47 Documents
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Cited by 102 Authors

4 Zanni, Luca
3 Serafini, Thomas
2 Bagirov, Adil M.
2 Bengio, Samy
2 Chen, Xiaobo
2 Collobert, Ronan
2 Matías, José M.
2 Niu, Lingfeng
2 Sun, Jianguo
2 Taboada, Javier
2 Taheri, Sona
2 Yang, Jian
2 Zanghirati, Gaetano
2 Zhao, Yongping
1 Abe, Naoto
1 Abidi, Mongi A.
1 Abraham, Ajith
1 Agarwal, Vivek
1 Asadi, Soodabeh
1 Bacciu, Davide
1 Bengio, Yoshua
1 Bettebghor, Dimitri
1 Bhattacharyya, Biswarup
1 Bordes, Antoine
1 Bordetsky, Alex
1 Bottou, Léon
1 Brazdil, Pavel B.
1 Carrizosa, Emilio
1 Carta, Antonio
1 Chen, Long
1 Chen, Xiaojun
1 Crammer, Koby
1 Debnath, Rameswar
1 Do, Thanh-Nghi
1 Downs, Tom
1 Engel, Yaakov
1 Ertekin, Seyda
1 Feng, Tingting
1 Ferris, Michael C.
1 Finley, Thomas
1 Gates, Kevin E.
1 Gehl, Christian
1 Gnesi, Stefania
1 Gondzio, Jacek
1 González-Manteiga, Wenceslao
1 Gribok, Andrei V.
1 Iglesias, Carlos A.
1 Ince, Huseyin
1 Joachims, Thorsten
1 Joki, Kaisa
1 Karmitsa, Napsu
1 King-wah Chu, Eric
1 Krüger, Stefan
1 Kuba, Petr
1 Kudo, Mineichi
1 Laskov, Pavel
1 Leroy, François-Henri
1 Liang, Jun
1 Liu, Yi
1 Lu, Henry Horng-Shing
1 Mäkelä, Marko Mikael
1 Mannor, Shie
1 Masters, Annette
1 Medioni, Gérard G.
1 Meir, Ron
1 Mordohai, Philippos
1 Müller, Klaus-Robert
1 Munson, Todd S.
1 Muramatsu, Masakazu
1 Ning, Hanwen
1 Peng, Xinjun
1 Philip, Ninan Sajith
1 Poulet, François
1 Romero Morales, Dolores
1 Saratchandran, P.
1 Semini, Laura
1 Shan, Songqing
1 Shen, Dinggang
1 Shi, Yong
1 Singer, Yoram
1 Statnikov, Alexander
1 Steidl, Gabriele
1 Strauss, Daniel J.
1 Takahashi, Haruhisa
1 Tian, Tianhai
1 Tian, Yingjie
1 Torkkola, Kari
1 Vaamonde, Antonio
1 Wang, G. Gary
1 Welzel, Udo
1 Weston, Jason
1 Woodsend, Kristian
1 Wu, Hanming
1 Yajima, Yasutoshi
1 Yanushkevich, I.
1 Ye, Qiaolin
1 Yu, Chun-Nam John
1 Yuan, Ya-xiang
1 Zhan, Yiqiang
1 Zhang, Jiaming
...and 2 more Authors

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