A New Game Theoretic Based Random Forest for Binary Classification.
Mihai-Alexandru SuciuRodica Ioana LungPublished in: HAIS (2022)
Keyphrases
- game theoretic
- random forest
- binary classification
- multi label
- ensemble methods
- game theory
- multi class
- decision trees
- decision problems
- prediction accuracy
- cost sensitive
- nash equilibrium
- learning problems
- base classifiers
- support vector
- image classification
- generalization error
- trust model
- class labels
- graph cuts
- learning tasks
- text categorization
- text classification
- feature set
- support vector machine
- machine learning methods
- reinforcement learning
- learning algorithm
- benchmark datasets
- feature subset
- multi agent systems
- training data
- image processing