Learning Theory for Distribution Regression.
Zoltán SzabóBharath K. SriperumbudurBarnabás PóczosArthur GrettonPublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- learning theory
- reproducing kernel hilbert space
- computational learning theory
- regression model
- generalization bounds
- pac learning
- theoretical computer science
- instructional design
- concept classes
- concept class
- automata theory
- support vector
- widely applicable
- regression problems
- expected error
- learning theories
- feature selection
- linear regression
- model selection
- collaborative learning
- training set
- feature space
- objective function