Solving Large Scale Linear SVM with Distributed Block Minimization
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[1] Federico Girosi,et al. An improved training algorithm for support vector machines , 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.
[2] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[3] Luca Zanni,et al. Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems , 2006, J. Mach. Learn. Res..
[4] Jason Weston,et al. Large-Scale Parallel SVM Implementation , 2007 .
[5] Jason Weston,et al. A Distributed Sequential Solver for Large-Scale SVMs , 2007 .
[6] Hao Wang,et al. PSVM : Parallelizing Support Vector Machines on Distributed Computers , 2007 .
[7] Tamir Hazan,et al. A Parallel Decomposition Solver for SVM: Distributed dual ascend using Fenchel Duality , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[9] John Langford,et al. Slow Learners are Fast , 2009, NIPS.
[10] Gideon S. Mann,et al. Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models , 2009, NIPS.
[11] Jacek Gondzio,et al. Hybrid MPI/OpenMP Parallel Linear Support Vector Machine Training , 2009 .
[12] Alexander J. Smola,et al. Bundle Methods for Regularized Risk Minimization , 2010, J. Mach. Learn. Res..
[13] Alexander J. Smola,et al. Parallelized Stochastic Gradient Descent , 2010, NIPS.
[14] Georgios B. Giannakis,et al. Consensus-Based Distributed Support Vector Machines , 2010, J. Mach. Learn. Res..
[15] Sören Sonnenburg,et al. COFFIN: A Computational Framework for Linear SVMs , 2010, ICML.
[16] Dan Roth,et al. Selective block minimization for faster convergence of limited memory large-scale linear models , 2011, KDD.
[17] Joseph K. Bradley,et al. Parallel Coordinate Descent for L1-Regularized Loss Minimization , 2011, ICML.
[18] Ping Li,et al. Hashing Algorithms for Large-Scale Learning , 2011, NIPS.
[19] Ohad Shamir,et al. Optimal Distributed Online Prediction , 2011, ICML.
[20] Chih-Jen Lin,et al. Large Linear Classification When Data Cannot Fit in Memory , 2011, TKDD.