A stochastic optimization approach for parameter tuning of Support Vector Machines

Computer Science

• Stochastic Optimization 100%
• Support Vector Machine 100%
• World Application 50%
• Local Minimum 50%
• Generalization Error 50%
• Genetic Algorithm 50%
• classification result 50%
• Parameter Space 50%
• Simulated Annealing 50%
• Regularization Parameter 50%

INIS

• stochastic processes 100%
• vectors 100%
• tuning 100%
• optimization 100%
• minimization 33%
• applications 16%
• comparative evaluations 16%
• simulation 16%
• classification 16%
• space 16%
• kernels 16%
• errors 16%
• annealing 16%
• genetic algorithms 16%

Mathematics

• Support Vector Machine 100%
• Stochastics 100%
• Parameter Space 50%
• Regularization 50%
• Genetic Algorithm 50%
• Local Minimum 50%
• Classical Method 50%