Feature Selection for High Dimensional Data Using Monte Carlo Tree Search.
Muhammad Umar ChaudhryJee-Hyong LeePublished in: IEEE Access (2018)
Keyphrases
- high dimensional data
- monte carlo tree search
- feature selection
- dimensionality reduction
- high dimensionality
- monte carlo
- dimension reduction
- nearest neighbor
- low dimensional
- high dimensional
- evaluation function
- data sets
- subspace clustering
- data analysis
- linear discriminant analysis
- similarity search
- data points
- feature space
- text categorization
- manifold learning
- principal component analysis
- temporal difference
- clustering high dimensional data
- microarray data
- high dimensional datasets
- text classification
- support vector machine
- high dimensional spaces
- basis functions
- markov chain
- input data
- knn
- game tree
- support vector
- machine learning
- database
- model selection
- semi supervised
- pattern recognition
- temporal difference learning