Microcanonical Annealing and Threshold Accepting for Parameter Determination and Feature Selection of Support Vector Machines.
Seyyid Ahmed MedjahedTamazouzt Ait SaadiAbdelkader BenyettouMohammed OualiPublished in: J. Comput. Inf. Technol. (2016)
Keyphrases
- parameter determination
- support vector
- threshold accepting
- feature selection
- simulated annealing
- model selection
- learning machines
- large margin classifiers
- support vector regression
- support vector machine
- metaheuristic
- classification accuracy
- job shop scheduling problem
- svm classifier
- tabu search
- feature ranking
- benchmark problems
- simulated annealing algorithm
- evolutionary algorithm
- kernel function
- k nearest neighbor
- scatter search
- genetic algorithm ga
- feature space
- combinatorial optimization
- harmony search
- feature extraction
- neural network
- machine learning
- radial basis function
- knn
- search algorithm
- genetic algorithm
- bipartite graph
- feature subset
- hill climbing
- optimization method
- regression model
- feature set
- objective function
- learning algorithm