Editorial: Kernel Methods: Current Research and Future Directions.
Nello CristianiniColin CampbellChris BurgesPublished in: Mach. Learn. (2002)
Keyphrases
- future directions
- kernel methods
- special issue
- lessons learned
- learning problems
- support vector
- kernel function
- support vector machine
- kernel matrix
- machine learning
- current status
- learning tasks
- feature space
- current challenges
- kernel pca
- reproducing kernel hilbert space
- similarity function
- multiple kernel learning
- high dimensional feature space
- multiple kernel
- graph kernels
- kernel matrices
- data mining
- principal component analysis
- high dimensional
- kernel trick
- clustering algorithm
- learning frameworks