Classification of Speaking Proficiency Level by Machine Learning and Feature Selection.
Brendan FlanaganSachio HirokawaEmiko KanekoEmi IzumiPublished in: SETE@ICWL (2016)
Keyphrases
- feature selection
- machine learning
- classification accuracy
- text classification
- support vector machine
- classification models
- pattern recognition
- decision trees
- model selection
- feature set
- support vector
- machine learning algorithms
- machine learning methods
- text categorization
- feature extraction
- unsupervised learning
- feature space
- accurate classification
- classification performances
- supervised learning
- bayes classifier
- microarray data
- high dimensionality
- supervised machine learning
- active learning
- irrelevant features
- data mining
- feature subset selection
- web page classification
- feature selection algorithms
- data pre processing
- feature selection and classification
- method for feature selection
- learning tasks
- multi class
- dimensionality reduction
- feature generation
- mutual information
- image classification
- fold cross validation
- discriminative features
- feature weighting
- cross validation
- learning problems
- feature subset
- data analysis
- knn
- feature reduction
- learning algorithm
- data sets
- data preparation
- feature construction
- semi supervised learning
- support vector machine svm
- foreign language
- supervised classification
- classification algorithm