Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem.
Marc SebbanRichard NockStéphane LallichPublished in: J. Mach. Learn. Res. (2002)
Keyphrases
- data reduction
- multi class
- stopping criterion
- feature selection
- binary classifiers
- binary classification problems
- boosting algorithms
- multiclass learning
- error correcting output codes
- base classifiers
- multiclass classification
- cost sensitive
- data compression
- convergence rate
- multiclass problems
- support vector machine
- binary classification
- classification accuracy
- high dimensionality
- data analysis
- classification rules
- pairwise
- multi class classification
- model selection
- data mining
- cost function
- preprocessing
- clustering algorithm
- knowledge discovery
- text classification
- multiresolution
- dimensionality reduction
- support vector
- multiscale
- decision trees
- region merging
- text categorization
- rough set theory
- neural network
- decision rules
- feature extraction
- computer vision
- learning algorithm