Classifiers and Semantic Type Coercion : Motivating a New Classification of Classifiers.
Kathleen AhrensChu-Ren HuangPublished in: PACLIC (1996)
Keyphrases
- support vector
- decision trees
- classification systems
- classification algorithm
- supervised classification
- classification models
- machine learning algorithms
- svm classifier
- class labels
- classification process
- accurate classification
- k nearest neighbour
- classification method
- multiple classifiers
- classification rate
- training data
- improves the classification accuracy
- training samples
- individual classifiers
- training set
- rule based classifier
- accurate classifiers
- multi category
- classifier combination
- feature set
- decision boundary
- correctly classified
- support vector machine classifiers
- classifier ensemble
- discriminant functions
- machine learning methods
- majority voting
- probabilistic classifiers
- multiclass classification
- final classification
- ensemble classifier
- classification schemes
- associative classifiers
- classification procedure
- feature selection
- optimum path forest
- classification decisions
- linear classifiers
- discriminative classifiers
- bayes classifier
- classification accuracy
- machine learning
- decision tree classifiers
- feature vectors
- high classification accuracy
- knn
- supervised learning
- support vector machine svm
- naive bayes
- ensemble learning
- extracted features
- imbalanced data sets
- higher classification accuracy
- nearest neighbour
- nearest neighbor classifier
- binary classifiers
- feature selection algorithms
- roc curve
- image classification
- support vector machine
- pattern recognition
- roc analysis
- multiple classifier systems
- naive bayes classifier
- text classifiers
- training examples
- text classification
- data stream classification
- multi class
- automatic text classification