Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification - researchr publication authors

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Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz. Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification. In Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, Roman Garnett, editors, Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA. pages 5419-5429, 2017. [doi]

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