Huberized Multiclass Support Vector Machine for Microarray Classification

By Jun-Tao Li, Yingmin Jia. 2010

15 citations recorded by the source corpus.

Subfields: Statistical Learning Theory, Computational Biology & Bioinformatics

How researchers see this paper

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

In Statistical Learning Theory

1. Simon Lacoste-Julien
2. Isabella Lukasewitz
3. Puneet Kumar Dokania
4. Anton Osokin
5. Jean-Baptiste Alayrac

Citations in the corpus

• Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs (2016, background): “Wang & Shen (2006) analyzed the regularization path for the L1 version of MSVM. Finally, Jun-Tao & Ying-Min (2010) constructed the regularization path for the multi-class SVM with huberized loss.”