A decomposition-based multi-objective immune algorithm for feature selection in learning to rank.
Wangwang LiZhengyi ChaiZengjie TangPublished in: Knowl. Based Syst. (2021)
Keyphrases
- learning process
- learning to rank
- immune algorithm
- multi objective
- feature selection
- genetic algorithm
- evolutionary algorithm
- artificial immune system
- network model
- information retrieval
- multi objective optimization
- ranking functions
- optimization algorithm
- loss function
- rbf network
- document retrieval
- text categorization
- objective function
- particle swarm optimization
- ranking svm
- feature set
- retrieval systems
- nsga ii
- collaborative filtering
- information gain
- support vector regression
- rbf neural network
- feature space
- support vector
- initial population
- neural network
- learning to rank algorithms
- fitness function
- machine learning
- test collection
- tabu search
- genetic programming
- text classification
- supervised learning
- classification accuracy
- artificial neural networks
- optimal solution
- ranking algorithm
- differential evolution
- web search
- support vector machine