A Budget-Constrained Inverse Classification Framework for Smooth Classifiers.
Michael T. LashQihang LinW. Nick StreetJennifer G. RobinsonPublished in: ICDM Workshops (2017)
Keyphrases
- classification systems
- class labels
- feature selection
- multi category
- classification rate
- support vector
- training set
- decision trees
- classification algorithm
- machine learning algorithms
- pattern recognition
- machine learning
- ensemble classifier
- classification models
- classification method
- co training
- svm classifier
- rule based classifier
- classification accuracy
- classification process
- feature extraction
- support vector machine svm
- machine learning methods
- pattern classification
- classification scheme
- decision boundary
- multiple kernel learning
- individual classifiers
- multiple classifiers
- training data
- improves the classification accuracy
- naive bayes
- optimum path forest
- classification procedure
- correctly classified
- higher classification accuracy
- error correcting output codes
- decision tree classifiers
- accurate classification
- classifier ensemble
- bayesian classifier
- text classification
- nearest neighbour
- unlabeled data