Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network.
Zheng-Chu GuoLei ShiQiang WuPublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- learning theory
- reproducing kernel hilbert space
- peer to peer
- kernel ridge regression
- gaussian kernels
- computational learning theory
- uniform convergence
- kernel machines
- kernel matrices
- databases
- loss function
- pac learning
- concept class
- generalization bounds
- kernel methods
- theoretical computer science
- complex networks
- kernel function
- kernel matrix
- learning algorithm
- concept classes
- active learning
- learning theories
- input space