Large-scale kernel methods for independence testing.
Qinyi ZhangSarah FilippiArthur GrettonDino SejdinovicPublished in: Stat. Comput. (2018)
Keyphrases
- kernel methods
- kernel based clustering
- kernel function
- learning problems
- support vector
- feature space
- machine learning
- support vector machine
- kernel matrix
- multiple kernel learning
- high dimensional feature space
- learning tasks
- kernel parameters
- kernel fisher discriminant analysis
- similarity function
- reproducing kernel hilbert space
- kernel learning
- multiple kernel
- learning frameworks
- k means
- kernel trick
- data sets