One-vs-One classification for deep neural networks.
Pornntiwa PawaraEmmanuel OkaforMarc GroefsemaSheng HeLambert R. B. SchomakerMarco A. WieringPublished in: Pattern Recognit. (2020)
Keyphrases
- neural network
- pattern recognition
- classification accuracy
- machine learning
- pattern classification
- rule extraction
- learning vector quantization
- classification method
- svm classifier
- model selection
- neural networks and support vector machines
- automatic classification
- support vector machine svm
- genetic algorithm
- feature selection
- preprocessing
- fuzzy logic
- image classification
- text classification
- classification scheme
- feature space
- benchmark datasets
- multi layer perceptron
- support vector
- feature vectors
- feature extraction
- decision trees
- classification rules
- supervised classification
- classification systems
- learning rules
- data mining
- training process
- classification models
- cost sensitive
- self organizing maps
- back propagation
- training set
- rough sets
- supervised learning
- support vector machine