A hybrid method based on estimation of distribution algorithms to train convolutional neural networks for text categorization.
Orlando Grabiel Toledano-LópezJulio MaderaHector GonzalezAlfredo Simón-CuevasPublished in: Pattern Recognit. Lett. (2022)
Keyphrases
- text categorization
- hybrid method
- estimation of distribution algorithms
- convolutional neural networks
- feature subset selection
- feature selection
- evolutionary computation
- text classification
- particle swarm optimization algorithm
- multi objective
- multi label
- knn
- evolutionary algorithm
- genetic programming
- genetic algorithm
- k nearest neighbor
- hybrid algorithm
- particle swarm optimization
- naive bayes
- multi objective optimization
- support vector machine
- combinatorial optimization
- combinatorial optimization problems
- continuous domains
- feature subset
- unlabeled data
- semi supervised learning
- search algorithm