Takashi Fujii, Hidetaka Ito, Seiji Miyoshi. A Theoretical Analysis of Semi-supervised Learning. In Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu, editors, Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part II. Volume 9948 of Lecture Notes in Computer Science, pages 28-36, 2016. [doi]
@inproceedings{FujiiIM16,
title = {A Theoretical Analysis of Semi-supervised Learning},
author = {Takashi Fujii and Hidetaka Ito and Seiji Miyoshi},
year = {2016},
doi = {10.1007/978-3-319-46672-9_4},
url = {http://dx.doi.org/10.1007/978-3-319-46672-9_4},
researchr = {https://researchr.org/publication/FujiiIM16},
cites = {0},
citedby = {0},
pages = {28-36},
booktitle = {Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part II},
editor = {Akira Hirose and Seiichi Ozawa and Kenji Doya and Kazushi Ikeda and Minho Lee and Derong Liu},
volume = {9948},
series = {Lecture Notes in Computer Science},
isbn = {978-3-319-46671-2},
}