On the equality of kernel AdaTron and sequential minimal optimization in classification and regression tasks and alike algorithms for kernel machines.
Vojislav KecmanMichael VogtTe Ming HuangPublished in: ESANN (2003)
Keyphrases
- kernel machines
- support vector
- sequential minimal optimization
- kernel function
- support vector machine
- reproducing kernel hilbert space
- learning machines
- support vector regression
- semi supervised
- machine learning algorithms
- pattern recognition
- feature space
- small number
- multi task
- learning problems
- kernel learning
- machine learning
- input space
- radial basis function
- learning algorithm
- class labels
- regression model
- model selection
- training set
- kernel methods
- learning tasks
- unlabeled data
- unsupervised learning
- supervised learning
- classification accuracy
- feature extraction
- decision trees
- feature selection