Masako Sato, Yasuhito Mukouchi, Mikiharu Terada. Refutable/Inductive Learning from Neighbor Examples and Its Application to Decision Trees over Patterns. In Setsuo Arikawa, Ayumi Shinohara, editors, Progress in Discovery Science, Final Report of the Japanese Discovery Science Project. Volume 2281 of Lecture Notes in Computer Science, pages 201-213, Springer, 2002. [doi]
@inproceedings{SatoMT02,
title = {Refutable/Inductive Learning from Neighbor Examples and Its Application to Decision Trees over Patterns},
author = {Masako Sato and Yasuhito Mukouchi and Mikiharu Terada},
year = {2002},
url = {http://link.springer.de/link/service/series/0558/bibs/2281/22810201.htm},
researchr = {https://researchr.org/publication/SatoMT02},
cites = {0},
citedby = {0},
pages = {201-213},
booktitle = {Progress in Discovery Science, Final Report of the Japanese Discovery Science Project},
editor = {Setsuo Arikawa and Ayumi Shinohara},
volume = {2281},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {3-540-43338-4},
}