Feature Selection Using Distance from Classification Boundary and Monte Carlo Simulation.
Yutaro KoyamaKazushi IkedaYuichi SakumuraPublished in: ICONIP (4) (2018)
Keyphrases
- monte carlo simulation
- feature selection
- classification accuracy
- monte carlo
- feature extraction
- text classification
- support vector
- classification models
- support vector machine
- high dimensionality
- pattern recognition
- machine learning
- text categorization
- markov chain
- feature space
- feature selection and classification
- decision trees
- classification method
- method for feature selection
- discriminative features
- mutual information
- irrelevant features
- feature set
- accurate classification
- dimension reduction
- small sample
- feature selection algorithms
- classification algorithm
- classification performances
- feature subset
- unsupervised learning
- multi class
- feature ranking
- support vector machine svm
- redundant features
- distance measurement
- supervised learning
- semi supervised
- support vector classification
- wrapper feature selection