Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network.
Zheng-Chu GuoLei ShiQiang WuPublished in: CoRR (2017)
Keyphrases
- learning theory
- reproducing kernel hilbert space
- peer to peer
- kernel ridge regression
- computational learning theory
- uniform convergence
- gaussian kernels
- generalization bounds
- kernel methods
- pac learning
- kernel machines
- complex networks
- concept classes
- kernel matrices
- theoretical computer science
- databases
- concept class
- bregman divergences
- model selection
- parzen window
- data warehouse
- machine learning