Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification.
Bikash JoshiMassih-Reza AminiIoannis PartalasFranck IutzelerYury MaximovPublished in: CoRR (2017)
Keyphrases
- multi class
- text classification
- binary classifiers
- feature selection
- multi class svm
- error correcting output codes
- multiclass learning
- multi class svms
- multi class classification problems
- binary classification problems
- text categorization
- binary classification
- bag of words
- naive bayes
- multi class classification
- text mining
- object detection
- multiclass problems
- knn
- machine learning
- pairwise
- multiple classes
- multi label classification
- support vector machine
- labeled data
- multiclass classification
- multi label
- cost sensitive
- multi class boosting
- model selection
- random sampling
- base classifiers
- multi class classifier
- semi supervised
- sampling methods
- feature set
- feature vectors
- k nearest neighbor
- unlabeled data