Distributed learning with partial coefficients regularization
From MaRDI portal
Publication:4571050
DOI10.1142/S021969131850025XzbMath1390.68552OpenAlexW2792870236MaRDI QIDQ4571050
Publication date: 6 July 2018
Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s021969131850025x
Related Items (2)
Learning rates of kernel-based robust classification ⋮ Randomized approximation numbers on Besov classes with mixed smoothness
Cites Work
- Sharp learning rates of coefficient-based \(l^q\)-regularized regression with indefinite kernels
- An empirical feature-based learning algorithm producing sparse approximations
- Learning by nonsymmetric kernels with data dependent spaces and \(\ell^1\)-regularizer
- Concentration estimates for learning with \(\ell ^{1}\)-regularizer and data dependent hypothesis spaces
- Least square regression with indefinite kernels and coefficient regularization
- A note on application of integral operator in learning theory
- Support vector machine classification with indefinite kernels
- Learning theory estimates for coefficient-based regularized regression
- Learning with sample dependent hypothesis spaces
- Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
- INDEFINITE KERNEL NETWORK WITH DEPENDENT SAMPLING
- Learning theory of distributed spectral algorithms
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Distributed learning with partial coefficients regularization
