Monte Carlo feature selection for supervised classification.
Michal DraminskiAlvaro Rada-IglesiasStefan EnrothClaes WadeliusJacek KoronackiHenryk Jan KomorowskiPublished in: Bioinform. (2008)
Keyphrases
- monte carlo
- supervised classification
- feature selection
- unsupervised learning
- supervised learning
- markov chain
- monte carlo simulation
- unsupervised clustering
- machine learning
- text categorization
- feature space
- monte carlo methods
- supervised classifiers
- importance sampling
- adaptive sampling
- particle filter
- monte carlo tree search
- support vector
- stochastic approximation
- feature set
- classification accuracy
- image processing
- optimal strategy
- markovian decision
- support vector machine
- matrix inversion
- image segmentation
- object recognition
- model selection
- knn
- variance reduction
- data sets
- global illumination
- temporal difference
- semi supervised