Application of Kernel-Based Feature Space Transformations and Learning Methods to Phoneme Classification.
András KocsorLászló TóthPublished in: Appl. Intell. (2004)
Keyphrases
- feature space
- support vector machine
- learning algorithm
- classification accuracy
- machine learning methods
- benchmark datasets
- multi category
- classification method
- learning process
- supervised learning
- unsupervised learning
- online learning
- preprocessing
- support vector
- incremental learning
- feature selection
- discriminative learning
- feature vectors
- training set
- reinforcement learning
- feature set
- kernel machines
- pattern recognition
- kernel learning
- classification models
- learning problems
- high dimensional
- machine learning algorithms
- dimension reduction
- learning tasks
- classification systems
- bayesian methods
- kernel matrix
- multi class
- supervised learning algorithms
- support vector machine svm