Classification Confidence Of Fuzzy Rule-Based Classifiers.
Tomoharu NakashimaAshish GhoshPublished in: ECMS (2011)
Keyphrases
- classification method
- decision trees
- support vector
- classification algorithm
- classification systems
- classification process
- classification models
- classification rate
- training samples
- accurate classification
- improves the classification accuracy
- supervised classification
- classification accuracy
- class labels
- feature selection
- classifier combination
- rule based classifier
- svm classifier
- machine learning methods
- optimum path forest
- training data
- k nearest neighbour
- majority voting
- final classification
- feature set
- nearest neighbor classifier
- pattern recognition
- training set
- multi category
- probabilistic classifiers
- decision boundary
- support vector machine
- individual classifiers
- classification procedure
- machine learning algorithms
- classifier ensemble
- support vector machine classifiers
- classification scheme
- feature extraction
- discriminant functions
- multiple classifier systems
- higher classification accuracy
- correctly classified
- associative classifiers
- support vector machine svm
- decision tree classifiers
- accurate classifiers
- multiple classifiers
- feature vectors
- ensemble classifier
- classification trees
- imbalanced data sets
- machine learning
- high classification accuracy
- confidence scores
- classification schemes
- multiclass classification
- bayesian classifier
- binary classifiers
- nearest neighbour
- knn
- text categorization
- naive bayes