Adaptive Kernel Approximation for Large-Scale Non-Linear SVM Prediction

By Michele Cossalter, Rong Yan, Lu Zheng. 2011

13 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Harish Karnick
2. Purushottam Kar
3. Shu Kong
4. Per-Gunnar Martinsson
5. Ninh D. Pham
6. Haim Avron
7. Felix X. Yu
8. Jeffrey Pennington

Citations in the corpus

• Random Feature Maps for Dot Product Kernels (2012, background): “ with sparsity proarXiv:1201.6530v3 [cs.LG] 26 Mar 2012 Random Feature Maps for Dot Product Kernels moting regularizers (see for example Bi et al., 2003) and support vector reduction (see for example Cossalter et al., 2011). However, although these eorts have yielded rich empirical returns, they hav”