Metric Entropy and Minimax Risk in Classification.
David HausslerManfred OpperPublished in: Structures in Logic and Computer Science (1997)
Keyphrases
- classification accuracy
- feature selection
- machine learning
- feature extraction
- minimum risk
- pattern recognition
- decision making
- search algorithm
- preprocessing
- information theoretic
- classification rules
- decision rules
- automatic classification
- pattern classification
- machine learning methods
- classification method
- information theory
- risk management
- feature space
- classification systems
- classification process
- nearest neighbor classification
- neyman pearson
- distance metric
- cross validation
- benchmark datasets
- machine learning algorithms
- training samples
- text classification
- distance measure
- supervised learning
- training data
- decision trees