Sparse kernel SVMs via cutting-plane training

[1]  Thorsten Joachims,et al.  Cutting-plane training of structural SVMs , 2009, Machine Learning.

[2]  Alexander J. Smola,et al.  A scalable modular convex solver for regularized risk minimization , 2007, KDD '07.

[3]  I. Tsang,et al.  Simpler core vector machines with enclosing balls , 2007, ICML '07.

[4]  Bernhard Schölkopf,et al.  A Direct Method for Building Sparse Kernel Learning Algorithms , 2006, J. Mach. Learn. Res..

[5]  S. Sathiya Keerthi,et al.  Building Support Vector Machines with Reduced Classifier Complexity , 2006, J. Mach. Learn. Res..

[6]  Thorsten Joachims,et al.  Training linear SVMs in linear time , 2006, KDD '06.

[7]  Thomas Hofmann,et al.  Large Margin Methods for Structured and Interdependent Output Variables , 2005, J. Mach. Learn. Res..

[8]  Jason Weston,et al.  Fast Kernel Classifiers with Online and Active Learning , 2005, J. Mach. Learn. Res..

[9]  Ivor W. Tsang,et al.  Core Vector Machines: Fast SVM Training on Very Large Data Sets , 2005, J. Mach. Learn. Res..

[10]  Michael I. Jordan,et al.  Predictive low-rank decomposition for kernel methods , 2005, ICML.

[11]  Pascal Vincent,et al.  Kernel Matching Pursuit , 2002, Machine Learning.

[12]  Ingo Steinwart,et al.  Sparseness of Support Vector Machines , 2003, J. Mach. Learn. Res..

[13]  Katya Scheinberg,et al.  Efficient SVM Training Using Low-Rank Kernel Representations , 2002, J. Mach. Learn. Res..

[14]  B. Schölkopf,et al.  Sparse Greedy Matrix Approximation for Machine Learning , 2000, ICML.

[15]  Christopher K. I. Williams,et al.  Using the Nyström Method to Speed Up Kernel Machines , 2000, NIPS.

[16]  B. Schölkopf,et al.  Advances in kernel methods: support vector learning , 1999 .

[17]  John C. Platt Using Analytic QP and Sparseness to Speed Training of Support Vector Machines , 1998, NIPS.

[18]  Alexander J. Smola,et al.  Learning with kernels , 1998 .

[19]  Thorsten Joachims,et al.  Making large scale SVM learning practical , 1998 .

[20]  Bernhard Schölkopf,et al.  Improving the accuracy and speed of support vector learning machines , 1997, NIPS 1997.

[21]  Christopher J. C. Burges,et al.  Simplified Support Vector Decision Rules , 1996, ICML.