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