A robust regularization path for the Doubly Regularized Support Vector Machine.
Antoine LachaudStéphane CanuDavid MercierFrédéric SuardPublished in: ESANN (2014)
Keyphrases
- support vector machine
- half quadratic
- solution path
- risk minimization
- regularization methods
- rank minimization
- regularization framework
- least squares
- computationally efficient
- robust statistics
- weighted least squares
- multi class
- feature vectors
- training data
- machine learning
- sparsity constraints
- empirical risk minimization
- neural network
- regularized least squares
- regularization method
- inverse problems
- total variation
- kernel function
- support vector
- feature selection