An approach of feature selection using graph-theoretic heuristic and hill climbing.
Saptarsi GoswamiAmit Kumar DasPriyanka GuhaArunabha TarafdarSanjay ChakrabortyAmlan ChakrabartiBasabi ChakrabortyPublished in: Pattern Anal. Appl. (2019)
Keyphrases
- hill climbing
- graph theoretic
- feature selection
- simulated annealing
- bayesian network structure learning
- search space
- search algorithm
- beam search
- search procedure
- heuristic function
- search strategy
- genetic algorithm ga
- systematic search
- tabu search
- direct search
- graph theory
- random graphs
- path finding
- max min
- maximum independent set
- branching factor
- steepest ascent
- hill climbing algorithm
- greedy search
- feature set
- hybrid algorithms
- hill climbing search
- rule learning
- feature subset
- association graph
- neural network
- forward selection
- hamiltonian path
- combinatorial optimization
- heuristic search
- metaheuristic
- genetic algorithm