Equilibrium in classification: a new game theoretic approach to supervised learning.
Rodica Ioana LungMihai-Alexandru SuciuPublished in: GECCO Companion (2020)
Keyphrases
- supervised learning
- supervised classification
- unsupervised learning
- class labels
- supervised machine learning
- training set
- classification accuracy
- machine learning
- classification process
- semi supervised
- feature extraction
- game theory
- training examples
- decision rules
- active learning
- training data
- classification rate
- pattern classification
- data mining
- learning tasks
- classification method
- supervised and unsupervised learning
- unlabeled data
- artificial neural networks
- feature space
- feature selection
- benchmark datasets
- training samples
- semi supervised learning
- learning problems
- document classification
- generalization error
- pattern recognition
- support vector
- decision trees