The Stochastic Gradient Descent for the Primal L1-SVM Optimization Revisited
Constantinos PanagiotakopoulosPetroula TsampoukaPublished in: CoRR (2013)
Keyphrases
- stochastic gradient descent
- least squares
- stochastic gradient
- loss function
- support vector
- matrix factorization
- support vector machine
- step size
- svm training
- random forests
- multiple kernel learning
- weight vector
- online algorithms
- regularization parameter
- importance sampling
- optimal solution
- collaborative filtering
- objective function
- convergence rate
- kernel methods
- kernel function
- ls svm
- text categorization
- linear programming
- knn
- optical flow
- feature space