On the convergence of generalized kernel-based interpolation by greedy data selection algorithms
Sign Up to like & getrecommendations! Published in 2024 at "BIT Numerical Mathematics"
DOI: 10.1007/s10543-024-01048-3
Abstract: We analyze the convergence of generalized kernel-based interpolation methods. This is done under minimalistic assumptions on both the kernel and the target function. On these grounds, we further prove convergence of popular greedy data selection… read more here.
Keywords: generalized kernel; convergence generalized; kernel based; greedy data ... See more keywords
Scaling Up Generalized Kernel Methods.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3059702
Abstract: Kernel methods have achieved tremendous success in the past two decades. In the current big data era, data collection has grown tremendously. However, existing kernel methods are not scalable enough both at the training and… read more here.
Keywords: generalized kernel; scaling generalized; kernel methods;