Multiple Kernel Learning Using Regularized Ho-Kashyap Classifier in Empirical Kernel Mapping Space.
Bo YangYingyong BuPublished in: ICNC (1) (2009)
Keyphrases
- multiple kernel learning
- kernel methods
- kernel learning
- multiple kernel
- linear combination
- kernel function
- learning problems
- sparse kernel
- kernel machines
- feature selection
- binary classification
- machine learning
- multi task
- gaussian kernels
- semi supervised learning
- multiple features
- low dimensional
- reproducing kernel hilbert space
- feature space
- learning algorithm
- support vector
- learning models
- spatial pyramid
- unsupervised learning
- reinforcement learning
- small number
- high dimensional feature space
- similarity measure
- support vector machine
- multi class
- learning tasks
- active learning