Classification optimization for training a large dataset with Naïve Bayes.
Thi Thanh Sang NguyenPham Minh Thu DoPublished in: J. Comb. Optim. (2020)
Keyphrases
- bayes classifiers
- bayes classifier
- text classification
- decision trees
- training set
- training dataset
- text classification tasks
- training process
- training samples
- training phase
- support vector
- multi class
- bayesian classifiers
- classification accuracy
- supervised learning
- optimization algorithm
- classification method
- support vector machine
- pattern recognition
- tree augmented
- bayesian classifier
- bayesian network classifiers
- benchmark datasets
- cross validation
- classification models
- naive bayes classifier
- automatic classification
- feature selection
- model selection
- machine learning
- feature set
- image classification
- optimization method
- text categorization
- naive bayes
- text classifiers
- support vector machine svm
- training examples
- optimization problems
- uci datasets
- decision rules
- feature space
- training data
- sufficient training data
- classification algorithm