On the Classification of Type II Codes of Length 24
Noam D. ElkiesScott Duke KominersPublished in: CoRR (2009)
Keyphrases
- type ii
- neyman pearson
- pattern recognition
- classification accuracy
- feature extraction
- support vector
- feature space
- pattern classification
- training samples
- type i error
- automatic classification
- text classification
- decision trees
- machine learning
- machine learning algorithms
- classification rate
- high dimensional
- classification method
- learning algorithm
- image classification
- training set
- classification scheme
- error correction
- support vector machine
- decision rules
- class labels
- benchmark datasets
- support vector machine svm
- statistical analysis
- supervised learning