A Separability Marker based on high-dimensional statistics for classification confidence assessment.
Nathalie T. H. GayraudNathanael FoyMaureen ClercPublished in: SMC (2016)
Keyphrases
- high dimensional
- dimensionality reduction
- high dimensionality
- feature selection
- classification accuracy
- feature space
- feature extraction
- support vector machine
- training samples
- small sample size
- machine learning
- classification scheme
- automatic classification
- classification algorithm
- dimension reduction
- machine learning methods
- pattern classification
- text classification
- classification process
- pattern recognition
- metric space
- sparse data
- confidence scores
- classification method
- svm classifier
- class labels
- similarity search
- support vector machine svm
- unsupervised learning
- multi dimensional
- supervised learning
- training set
- preprocessing
- support vector