Maximizing Appropriate Responses Returned by a Conversational Agent through the Use of a Genetic Algorithm for Feature Selection.
Jerome McClendonLarry F. HodgesSekou L. RemyPublished in: FLAIRS Conference (2016)
Keyphrases
- conversational agent
- genetic algorithm
- feature selection
- conversational agents
- natural language interfaces
- human communication
- parameter optimization
- text categorization
- mutual information
- neural network
- support vector
- feature selection algorithms
- multi class
- fitness function
- text classification
- feature selection and classifier
- information gain
- evolutionary algorithm
- multi objective
- classification accuracy
- feature set
- feature space
- artificial neural networks
- selected features
- feature subset
- fuzzy logic
- genetic algorithm ga
- multi task
- metaheuristic
- unsupervised feature selection
- feature extraction
- naive bayes
- method for feature selection
- support vector machine
- crossover operator
- dimensionality reduction
- irrelevant features
- human computer interaction
- particle swarm optimization
- simulated annealing
- video sequences