A Novel Simulation Based Classifier Using Random Tree and Reinforcement Learning.
Israr AhmedMunir NaveedMohammed AdnanPublished in: EIDWT (2019)
Keyphrases
- reinforcement learning
- training data
- learning classifier systems
- learning algorithm
- function approximation
- tree structure
- decision tree classifiers
- binary decision tree
- classification scheme
- classification trees
- feature selection
- decision tree learning
- decision forest
- decision trees
- feature set
- state space
- support vector machine
- learning phase
- training samples
- classifier systems
- reinforcement learning algorithms
- optimal control
- multi agent
- tree structures
- model free
- training set
- multiple classifiers
- machine learning
- support vector
- feature space
- learning process
- classification method
- classification algorithm
- dynamic programming
- data sets
- b tree
- feature vectors
- function approximators
- binary tree
- xml documents
- index structure
- bayesian classifier
- transfer learning
- classification process
- markov decision processes
- linear classifiers
- classification rate
- radial basis function
- r tree