A budget-constrained inverse classification framework for smooth classifiers.
Michael T. LashQihang LinW. Nick StreetJennifer G. RobinsonPublished in: CoRR (2016)
Keyphrases
- support vector
- decision trees
- classification algorithm
- classification systems
- multi category
- classification models
- classification rate
- svm classifier
- training samples
- training set
- classification method
- multiclass classification
- classification process
- supervised classification
- k nearest neighbour
- machine learning algorithms
- error correcting output codes
- classification accuracy
- class labels
- pattern recognition
- multiple classifiers
- improves the classification accuracy
- accurate classification
- nearest neighbor classifier
- final classification
- multi class
- binary classifiers
- decision boundary
- feature selection
- feature vectors
- majority voting
- pattern classification
- machine learning methods
- support vector machine
- model selection
- correctly classified
- optimum path forest
- support vector machine classifiers
- feature extraction
- image classification