Inductive Regularized Learning of Kernel Functions.
Prateek JainBrian KulisInderjit S. DhillonPublished in: NIPS (2010)
Keyphrases
- kernel function
- learning algorithm
- inductive inference
- inductive learning
- machine learning
- representer theorem
- kernel learning
- support vector
- supervised learning
- learning problems
- reinforcement learning
- data sets
- support vector machine
- active learning
- learning models
- support vectors
- multi task learning
- high dimensional feature space