Learning under uncertainty: a comparison between R-W and Bayesian approach - researchr publication authors

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He Huang, Martin P. Paulus. Learning under uncertainty: a comparison between R-W and Bayesian approach. In Daniel D. Lee, Masashi Sugiyama, Ulrike V. Luxburg, Isabelle Guyon, Roman Garnett, editors, Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain. pages 2730-2738, 2016. [doi]

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