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" A tutorial on support vector machines for pattern recognition," Data Mining and Knowledge Discovery 2, 1-47(1998). 5. B. Scholkopf, CJC Burges, and AJ Smola, eds., Advances in Kernel Methods, Support Vector Learning, MIT Press, Cambridge MA (1999). 6.... "
Learning with Kernels: Support Vector Machines, Regularization, Optimization ... - Page 610
de Bernhard Schölkopf, Alexander J. Smola - 2002 - 626 pages
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Advances in Neural Information Processing Systems 12 ..., Volumes 1 à 2

Sara A. Solla, Klaus-Robert Müller, Todd K. Leen - 2000 - 1124 pages
...Annals of Statistics, 1998. (Earlier appeared in: DH Fisher, Jr. (ed.), Proc. ICML97, M. Kaufmann). [14] B. Schölkopf, CJC Burges, and AJ Smola. Advances...Support Vector Learning. MIT Press, Cambridge, MA, 1999. [15] B. Schölkopf, A. Smola, RC Williamson, and PL Bartlett. New support vector algorithms. Neural...
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Advances in Large Margin Classifiers

Alexander J. Smola - 2000 - 436 pages
...CA, 1995. B. Scholkopf. Support Vector Learning. R. Oldenbourg Verlag, Munich, 1997. B. Scholkopf, CJC Burges, and AJ Smola. Advances in Kernel Methods...Support Vector Learning. MIT Press, Cambridge, MA, 1999a. B. Scholkopf, S. Mika, C. Burges, P. Knirsch, K.-R. Miiller, G. Ratsch, and A. Smola. Input...
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Advances in Neural Information Processing Systems 13: Proceedings of the ...

Todd K. Leen, Thomas G. Dietterich, Volker Tresp - 2001 - 1136 pages
...spaces and positive definite functions. Trans. Amer. Math. Soc., 44:522-536, 1938. [8] B. Scholkopf, CJC Burges, and AJ Smola. Advances in Kernel Methods...Support Vector Learning. MIT Press, Cambridge, MA, 1999. [9] B. Scholkopf, A. Smola, and K.-R. Miiller. Nonlinear component analysis as a kernel eigenvalue...
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Digital Libraries: International Collaboration and Cross-Fertilization: 7th ...

Zhaoneng Chen, Hsinchun Chen, Qihao Miao, Yuxi Fu, Edward Fox, Ee-peng Lim - 2004 - 708 pages
...Shawe-Taylor, Generalization performance of support vector machines and other pattern classifiers, Advances in kernel methods: support vector learning, MIT Press, Cambridge, MA, 1999 13. Dennis Decoste, Bernhard Schoelkopf, Training Invariant Support Vector machines, Machine Learning,...
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Control Theory

James R. Leigh - 2004 - 328 pages
...support vector learning' (MIT Press, Cambridge, 1998) SCHÖLKOPF, BJC, BURÓES, CJC, and SMOLA, AJ (Eds): 'Advances in kernel methods: support vector learning' (MIT Press, Cambridge, MA, 1999) SEBORO, DE, EDGAR, TF, and MELLICHAMP, DA: 'Process dynamics and control' (Wiley, Hoboken, NJ, 2003)...
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Advances in Natural Language Processing: 4th International Conference, EsTAL ...

José Luis Vicedo, Particio Martínez-Barco, Rafael Munoz, Maximiliano Saiz Noeda - 2004 - 498 pages
...Joachims, T.: Making large-scale SVM learning practical. In Scholkopf, B., Surges, CJC, Smola, AJ, eds.: Advances in Kernel Methods — Support Vector Learning. MIT Press, Cambridge, MA (1999) 169-184 6. Villarejo, L., Marquez, L., Agirre, E., Martinez, D., Magnini, B., Strapparava, C., McCarthy,...
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Computational Intelligence, Theory and Applications: International ...

Bernd Reusch - 2006 - 769 pages
...Conf. on Advanced Intelligent Mechatronic, Vol. 1, 2001, pp. 272 - 277. [8] B. Scholkopf, CJC Burges, AJ Smola, Advances in Kernel Methods - Support Vector Learning", MIT Press, Cambridge, MA, 1999. [9] R. Scholkopf, AJ Smola, R. Willianson, P. Bartlett, New Support Vector Algorithms", Neural Computing,...
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Random Graphs for Statistical Pattern Recognition

David J. Marchette - 2005 - 264 pages
...Symposium on Circuits and Systems, pp. 141-144, 1999. 182. B. Scholkopf, CJC Surges, and AJ Smola, editors. Advances in Kernel Methods: Support Vector Learning. MIT Press, Cambridge, MA, 1999. 183. DW Scott. Multivariate Density Estimation: Theory, Practice, and Visualization. Wiley, New York,...
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Support Vector Machines for Pattern Classification

Shigeo Abe - 2005 - 362 pages
...volume 2, pages 111-6, Skovde, Sweden, 1998. 212. B. Scholkopf, CJC Burges, and AJ Smola, editors. Advances in Kernel Methods: Support Vector Learning. MIT Press, Cambridge, MA, 1999. 213. B. Scholkopf, J. Shawe-Taylor, AJ Smola, and RC Williamson. Kerneldependent support vector error...
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Physics of Automatic Target Recognition

Firooz Sadjadi, Bahram Javidi - 2007 - 269 pages
...and R. Mohr. Local grayvalue invariants for image retrieval. 19(5):530534, 1997. [62] B. Scholkopf, CJC Burges, and AJ Smola. Advances in Kernel Methods: Support Vector Learning. MIT Press, 1999. [63] B. Scholkopf, S. Mika, CJC, Surges, P. Knirsch, K.-R. Mueller, G. Raetsch, and AJ Smola....
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