Hybrid Feature Selection Method Based on a Naïve Bayes Algorithm that Enhances the Learning Speed while Maintaining a Similar Error Rate in Cyber ISR.
Gyeongil ShinHosang YoounDongil ShinDongkyoo ShinPublished in: KSII Trans. Internet Inf. Syst. (2018)
Keyphrases
- error rate
- learning speed
- false discovery rate
- feature selection
- dynamic programming
- feed forward neural networks
- objective function
- bayes classifiers
- k means
- optimization algorithm
- bayes classifier
- recognition algorithm
- classification algorithm
- rbf network
- bayesian classifiers
- learning algorithm
- bayesian classifier
- text categorization
- support vector machine svm
- similarity measure
- optimization method
- support vector machine
- lower bound
- convergence rate
- tree augmented
- decision trees
- feature space
- probabilistic model
- back propagation
- classification accuracy
- simulated annealing
- mutual information