Empirical comparison of forward and backward search strategies in L-GEM based feature selection with RBFNN.
Yao-Hong ChanWing W. Y. NgDaniel S. YeungPatrick P. K. ChanPublished in: ICMLC (2010)
Keyphrases
- search strategies
- forward and backward
- feature selection
- rbfnn
- search strategy
- search algorithm
- heuristic search
- greedy search
- search methods
- machine learning
- rbf neural network
- sensitivity analysis
- dynamic programming
- search problems
- function approximation
- radial basis function
- hybrid method
- evolutionary algorithm
- support vector
- support vector machine
- neural network
- retrieval effectiveness
- computational complexity
- constraint programming
- hidden layer
- branch and bound
- decision trees
- data structure
- feature subset
- feature extraction
- rbf network
- genetic algorithm
- co occurrence