QBoost: Predicting quantiles with boosting for regression and binary classification.
Songfeng ZhengPublished in: Expert Syst. Appl. (2012)
Keyphrases
- binary classification
- ordinal classification
- boosting algorithms
- ensemble methods
- cost sensitive
- support vector
- bipartite ranking
- multi class
- multiclass classification
- base learners
- binary classification problems
- learning problems
- multi class classification
- support vector machine
- generalization error
- prediction accuracy
- base classifiers
- multi label
- binary classifiers
- feature selection
- decision trees
- class imbalance
- regression model
- learning algorithm
- model selection
- machine learning methods
- naive bayes
- machine learning
- gaussian processes
- cross validation
- lower bound
- data mining
- similarity measure
- active learning
- class distribution
- k nearest neighbor
- text categorization
- learning tasks
- data sets