Large Scale Kernel Learning using Block Coordinate Descent.
Stephen TuRebecca RoelofsShivaram VenkataramanBenjamin RechtPublished in: CoRR (2016)
Keyphrases
- data sets
- kernel learning
- kernel function
- multiple kernel learning
- kernel matrix
- semi supervised
- semidefinite program
- support vector regression
- kernel methods
- convex optimization
- pairwise constraints
- dimensionality reduction
- learning tasks
- machine learning
- multi task learning
- learning problems
- support vector machine svm
- support vector