Training machine classifiers to match the performance of human listeners in a natural vowel classification task.
Martin HunkeThomas HoltonPublished in: ICSLP (1996)
Keyphrases
- training set
- training samples
- classification systems
- support vector
- classification algorithm
- classification method
- class labels
- decision trees
- training phase
- classification process
- supervised learning
- classification performances
- classification rate
- accurate classification
- svm classifier
- probabilistic classifiers
- multi layer perceptron
- training examples
- supervised classification
- nearest neighbor classifier
- linear svm
- improves the classification accuracy
- pattern recognition
- discriminative classifiers
- classification models
- machine learning algorithms
- multi category
- multiclass classification
- machine learning methods
- learning machines
- training process
- classifier combination
- k nearest neighbour
- feature selection
- binary classifiers
- sufficient training data
- classification accuracy
- majority voting
- support vector machine
- classification decisions
- text classifiers
- feature set
- image classification
- training data
- associative classifiers
- class imbalanced
- rule based classifier
- trained classifiers
- support vector machine svm
- higher classification accuracy
- nearest neighbour
- decision boundary
- extracted features
- roc curve
- optimum path forest
- ensemble classifier
- training dataset
- naive bayes
- supervised training
- classifier training
- accurate classifiers
- test set
- multiple classifier systems
- feature space
- ensemble learning
- class imbalance
- feature vectors
- weak classifiers
- multi class