Giorgio Gnecco, Federico Nutarelli. On the Trade-Off Between Number of Examples and Precision of Supervision in Regression. In Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita, editors, Recent Advances in Big Data and Deep Learning, Proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL 2019, held at Sestri Levante, Genova, Italy 16-18 April 2019. pages 1-6, Springer, 2019. [doi]
@inproceedings{GneccoN19,
title = {On the Trade-Off Between Number of Examples and Precision of Supervision in Regression},
author = {Giorgio Gnecco and Federico Nutarelli},
year = {2019},
doi = {10.1007/978-3-030-16841-4_1},
url = {https://doi.org/10.1007/978-3-030-16841-4_1},
researchr = {https://researchr.org/publication/GneccoN19},
cites = {0},
citedby = {0},
pages = {1-6},
booktitle = {Recent Advances in Big Data and Deep Learning, Proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL 2019, held at Sestri Levante, Genova, Italy 16-18 April 2019},
editor = {Luca Oneto and Nicolò Navarin and Alessandro Sperduti and Davide Anguita},
publisher = {Springer},
isbn = {978-3-030-16841-4},
}