Monte Carlo Tree Search-Based Recursive Algorithm for Feature Selection in High-Dimensional Datasets.
Muhammad Umar ChaudhryMuhammad YasirMuhammad Nabeel AsgharJee-Hyong LeePublished in: Entropy (2020)
Keyphrases
- knowledge discovery
- high dimensional datasets
- recursive algorithm
- monte carlo tree search
- outlier detection
- feature selection
- high dimensionality
- monte carlo
- hypothesis testing
- machine learning
- evaluation function
- high dimensional data
- upper bound
- high dimensional
- text categorization
- support vector machine
- dimensionality reduction
- feature extraction
- feature space
- convex hull
- game tree
- neural network
- high dimensional spaces
- temporal difference
- pattern recognition
- lower bound
- support vector
- data points
- microarray