Sample-based classification procedures related to empiric distributions.
Ned GlickPublished in: IEEE Trans. Inf. Theory (1976)
Keyphrases
- classification accuracy
- classification algorithm
- machine learning methods
- classification method
- automatic classification
- feature space
- image classification
- machine learning
- classification scheme
- class labels
- unsupervised learning
- feature vectors
- training set
- pattern recognition
- support vector
- small sample
- feature extraction
- feature selection
- classification process
- text classification
- benchmark datasets
- classification rules
- classification systems
- data sets
- class conditional
- gaussian distribution
- pattern classification
- sample size
- random variables
- support vector machine svm
- supervised learning
- training data
- decision trees