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.
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- 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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