Neural Network Classification Using Error Entropy Minimization.
Jorge M. SantosLuís A. AlexandreJoaquim Marques de SáPublished in: WIRN (2004)
Keyphrases
- entropy minimization
- neural network
- pattern recognition
- learning vector quantization
- pattern classification
- classification accuracy
- support vector
- automatic classification
- support vector machine svm
- classification systems
- decision rules
- feature vectors
- multi layer perceptron
- kohonen self organizing map
- training set
- feature extraction
- classification method
- decision trees
- machine learning
- classification process
- classification scheme
- artificial neural networks
- support vector machine
- image classification
- benchmark datasets
- model selection
- training samples
- neural network is trained
- probabilistic neural network
- supervised learning
- nearest neighbour
- text classification
- cross validation
- training process
- learning rate
- generalization ability
- classification models
- prediction model
- back propagation
- class labels
- classification algorithm