Random Reducts: A Monte Carlo Rough Set-based Method for Feature Selection in Large Datasets.
Marcin KruczykNicholas BaltzerJakub MieczkowskiMichal DraminskiJacek KoronackiJan KomorowskiPublished in: Fundam. Informaticae (2013)
Keyphrases
- monte carlo
- method for feature selection
- rough sets
- rough set theory
- monte carlo method
- attribute reduction
- markov chain
- monte carlo simulation
- feature selection
- importance sampling
- decision rules
- markovian decision
- decision table
- monte carlo methods
- adaptive sampling
- monte carlo tree search
- matrix inversion
- stochastic approximation
- data mining
- particle filter
- feature extraction
- game tree search
- markov chain monte carlo
- optimal strategy
- knowledge discovery
- semi supervised
- machine learning
- quasi monte carlo
- least squares