Minimax-optimal classification with dyadic decision trees.
Clayton D. ScottRobert D. NowakPublished in: IEEE Trans. Inf. Theory (2006)
Keyphrases
- decision trees
- predictive accuracy
- machine learning
- classification accuracy
- decision rules
- machine learning algorithms
- training set
- decision tree algorithm
- rule induction
- automatic classification
- classification rules
- worst case
- binary decision tree
- text classification
- naive bayes
- image classification
- logistic regression
- concept drifting data streams
- machine learning methods
- attribute selection
- decision tree induction
- dynamic programming
- classification models
- feature vectors
- training data
- associative classifiers
- pattern recognition
- feature construction
- preprocessing
- classification scheme
- rule sets
- classification method
- supervised learning
- nearest neighbour
- classification trees
- data mining methods
- support vector machine
- decision tree classifiers
- classification algorithm
- neyman pearson
- support vector machine svm