227 citations · 355 across the 9 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
stat.ML2017
Total stability of kernel methods
Andreas Christmann, Daohong Xiang, Ding-Xuan Zhou
Regularized empirical risk minimization using kernels and their corresponding reproducing kernel Hilbert spaces (RKHSs) plays an important role in machine learning. However, the ac…
stat.ML2017★ 1 cited
Universal Consistency and Robustness of Localized Support Vector Machines
Florian Dumpert
The massive amount of available data potentially used to discover patters in machine learning is a challenge for kernel based algorithms with respect to runtime and storage capacit…