Metaheuristic techniques for Support Vector Machine model selection.
James BlondinAshraf SaadPublished in: HIS (2010)
Keyphrases
- model selection
- metaheuristic
- support vector machine
- cross validation
- feature selection
- machine learning
- tabu search
- simulated annealing
- scatter search
- ant colony optimization
- search space
- hyperparameters
- optimization problems
- genetic algorithm
- sample size
- optimal solution
- iterated local search
- combinatorial optimization
- parameter estimation
- svm classifier
- support vector
- path relinking
- regression model
- kernel function
- model selection criteria
- generalization error
- particle swarm optimization
- feature vectors
- vehicle routing problem
- statistical inference
- benchmark instances
- training data
- marginal likelihood
- selection criterion
- training set
- set of benchmark instances
- gaussian process
- bayesian information criterion
- information criterion
- kernel methods
- greedy randomized adaptive search procedure
- differential evolution
- automatic model selection
- approximation algorithms