mloss | Projects that are tagged with multiclass support vector machine.

MSVMpack 1.5.1

by lauerfab - March 9, 2017, 12:29:37 CET [ ] 66137 views, 15958 downloads, 0 subscriptions

About: MSVMpack is a Multi-class Support Vector Machine (M-SVM) package. It is dedicated to SVMs which can handle more than two classes without relying on decomposition methods and implements the four M-SVM models from the literature: Weston and Watkins M-SVM, Crammer and Singer M-SVM, Lee, Lin and Wahba M-SVM, and the M-SVM2 of Guermeur and Monfrini.

Changes:

Fix compilation error with recent gcc

Authors: Fabien Lauer, Yann Guermeur, Emmanuel Didiot
License: Gpl
Programming Language: Matlab, C

Operating System: Linux, Macosx, Windows
Data Formats: Ascii, Matlab
JMLR-MLOSS Publication: JMLR Page
Tags: Kernel, Svm, Support Vector Machines, Parallel, Msvm, Multiclass Support Vector Machine, Server

Linear SVM with general regularization 1.0

by rflamary - October 5, 2012, 15:34:21 CET [ ] 12533 views, 3270 downloads, 0 subscriptions

About: This package is an implementation of a linear svm solver with a wide class of regularizations on the svm weight vector (l1, l2, mixed norm l1-lq, adaptive lasso). We provide solvers for the classical single task svm problem and for multi-task with joint feature selection or similarity promoting term.

Changes:

Initial Announcement on mloss.org.

Authors: Remi Flamary, Alain Rakotomamonjy
License: Gnu Gpl V2
Programming Language: Matlab

Operating System: Agnostic
Data Formats: Any Format Supported By Matlab
Tags: Large Scale, Kernelmachine, Svm, Bci, Classification, Support Vector Machines, Feature Selection, Linear Svm, Convex Optimization, Gradient Based Learning, Manifold Learning, Optimization, Algorithms, Feature Weighting, Trace Norm, Toolbox, Group Lasso, Lasso, Sparse Learning, Quadratic Programming, Weighting, L1 Regularization, Large Datasets, Regularization, Pattern Recognition, Discriminant Analysis, Linear Model, Generalized Linear Models, Multiclass Support Vector Machine, L1 Minimization, Sparse Representation, L1 Norm, L21 Norm, Dimension Reduction, Multi Task

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MSVMpack 1.5.1

Linear SVM with general regularization 1.0