The Support Feature Machine: Classification with the Least Number of Features and Application to Neuroimaging Data.
Sascha KlementSilke AndersThomas MartinetzPublished in: Neural Comput. (2013)
Keyphrases
- feature vectors
- data sets
- feature set
- feature values
- feature subset
- extracted features
- small number
- additional features
- prior knowledge
- data analysis
- classification accuracy
- feature analysis
- training data
- feature extraction
- feature representation
- training samples
- predictive features
- irrelevant features
- data mining
- single feature
- classification process
- feature weights
- svm classifier
- decision trees
- training examples
- image features
- semi supervised
- machine learning
- feature interactions
- binary features
- feature selection
- support vector
- xml documents
- input features
- class labels
- data mining techniques
- text classification
- high dimensional data
- high dimensionality
- missing values
- classification algorithm
- benchmark datasets