The Shapley Value of Classifiers in Ensemble Games.
Benedek RozemberczkiRik SarkarPublished in: CIKM (2021)
Keyphrases
- game theory
- weighted voting
- coalitional games
- game theoretic
- ensemble learning
- weighted voting games
- multiple classifiers
- ensemble classifier
- classifier ensemble
- solution concepts
- majority voting
- training data
- cooperative games
- ensemble pruning
- training set
- combining classifiers
- cooperative game
- randomized trees
- nash equilibria
- multiple classifier systems
- individual classifiers
- feature selection
- trained classifiers
- ensemble methods
- decision tree classifiers
- majority vote
- class label noise
- support vector
- final classification
- concept drifting data streams
- coalition formation
- base classifiers
- imbalanced data
- weak classifiers
- accurate classifiers
- diversity measures
- naive bayes
- rule induction algorithm
- mining concept drifting data streams
- ensemble classification
- computer games
- one class support vector machines
- decision trees
- neural network
- video games
- feature ranking
- random forest
- classifier combination
- svm classifier
- random forests
- bias variance decomposition
- weak learners
- cooperative
- generalization ability
- nash equilibrium
- concept drift
- classification accuracy
- educational games
- learning algorithm
- ensemble members
- machine learning algorithms
- combining multiple