A new hybrid approach for feature selection and support vector machine model selection based on self-adaptive cohort intelligence.
Mohammed AladeemySalih TutunMohammad T. KhasawnehPublished in: Expert Syst. Appl. (2017)
Keyphrases
- model selection
- feature selection
- support vector machine
- cross validation
- multi class
- hyperparameters
- bayesian learning
- machine learning
- mutual information
- sample size
- meta learning
- text categorization
- statistical learning
- svm classifier
- regression model
- parameter estimation
- text classification
- feature set
- selection criterion
- mixture model
- support vector machine svm
- unsupervised learning
- feature space
- support vector
- feature extraction
- generalization error
- marginal likelihood
- error estimation
- classification accuracy
- statistical inference
- generalization ability
- kernel function
- variable selection
- kernel methods
- feature selection algorithms
- naive bayes
- parameter determination
- statistical learning theory
- model selection criteria
- automatic model selection
- gaussian process
- support vector regression
- feature subset
- dimension reduction
- knn
- naive bayes classifier
- generalization bounds
- leave one out cross validation
- closed form
- bayesian model selection
- decision trees