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]
@inproceedings{NamMKF17,
title = {Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification},
author = {Jinseok Nam and Eneldo Loza Mencía and Hyunwoo J. Kim and Johannes Fürnkranz},
year = {2017},
url = {http://papers.nips.cc/paper/7125-maximizing-subset-accuracy-with-recurrent-neural-networks-in-multi-label-classification},
researchr = {https://researchr.org/publication/NamMKF17},
cites = {0},
citedby = {0},
pages = {5419-5429},
booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA},
editor = {Isabelle Guyon and Ulrike von Luxburg and Samy Bengio and Hanna M. Wallach and Rob Fergus and S. V. N. Vishwanathan and Roman Garnett},
}