Training Support Vector Machines Using Frank-Wolfe Optimization Methods
Emanuele FrandiRicardo ÑanculefMaria Grazia GasparoStefano LodiClaudio SartoriPublished in: CoRR (2012)
Keyphrases
- optimization methods
- training support vector machines
- global convergence
- line search
- decomposition methods
- optimization method
- simulated annealing
- optimization problems
- unconstrained optimization
- stochastic methods
- support vector machine
- gradient method
- optimization approaches
- quasi newton
- efficient optimization
- direct optimization
- trust region
- continuous optimization
- particle swarm
- mathematical programming
- genetic algorithm
- database
- metaheuristic
- neural network
- bayesian network models
- data sets