Computationally efficient discrimination between language varieties with large feature vectors and regularized classifiers.
Adrien BarbaresiPublished in: VarDial@COLING 2018 (2018)
Keyphrases
- computationally efficient
- feature vectors
- feature set
- svm classifier
- feature selection
- training data
- programming language
- feature space
- least squares
- rotation invariant
- language learning
- natural language
- training set
- decision trees
- discrimination aware
- support vector
- multiple classifiers
- euclidean distance
- test set
- machine learning algorithms
- feature extraction
- classification algorithm
- supervised classification
- classifier combination
- support vector machine
- machine learning
- classification method
- gaussian mixture model
- naive bayes
- face images
- train a support vector machine