On Making Stochastic Classifiers Deterministic.
Andrew CotterMaya R. GuptaHarikrishna NarasimhanPublished in: NeurIPS (2019)
Keyphrases
- stochastic optimization problems
- training data
- stochastic methods
- feature selection
- machine learning algorithms
- test set
- roc curve
- machine learning methods
- decision trees
- learning classifier systems
- naive bayes
- monte carlo
- stochastic programming
- classification systems
- linear classifiers
- supervised classification
- ensemble learning
- svm classifier
- support vector
- training examples
- text categorization
- training samples
- genetic algorithm
- training set
- classifier combination
- ensemble classifier
- active learning