Dyadic Classification Trees via Structural Risk Minimization.
Clayton D. ScottRobert D. NowakPublished in: NIPS (2002)
Keyphrases
- classification trees
- structural risk minimization
- support vector
- empirical risk minimization
- logistic regression
- support vector regression
- decision trees
- support vector machine
- training data
- inductive learning
- regression trees
- data sets
- class distribution
- classification models
- training set
- random forests
- loss function
- cross validation
- hyperparameters
- classification accuracy
- ensemble methods
- naive bayes
- vc dimension
- least squares
- semi supervised
- machine learning