The separability theory of hyperbolic tangent kernels and support vector machines for pattern classification.
Mathini SellathuraiSimon HaykinPublished in: ICASSP (1999)
Keyphrases
- pattern classification
- support vector
- large margin classifiers
- learning machines
- maximum margin
- kernel function
- pattern recognition
- kernel methods
- feature extraction
- nearest neighbor rule
- probabilistic neural network
- neural network
- pattern classification problems
- radial basis function neural network
- support vector machine
- rbf kernel
- radial basis function
- fuzzy classifier
- kernel machines
- feature selection
- vowel recognition
- mass spectrometry data
- decision boundary
- generalization ability
- svm classifier
- classification accuracy
- dimensionality reduction
- data analysis
- image processing
- data mining
- artificial neural networks
- feature space
- object recognition
- discriminant embedding