Robust Distributed Training of Linear Classifiers Based on Divergence Minimization Principle

Junpei Komiyama, Hidekazu Oiwa, Hiroshi Nakagawa. Robust Distributed Training of Linear Classifiers Based on Divergence Minimization Principle. In Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II. Volume 8725 of Lecture Notes in Computer Science, pages 1-17, Springer, 2014. [doi]

Abstract

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