@inproceedings{7510781ce9a842ffb5697b432cdd96fa,
title = "Learning classifiers using hierarchically structured class taxonomies",
abstract = "We consider classification problems in which the class labels are organized into an abstraction hierarchy in the form of a class taxonomy. We define a structured label classification problem. We explore two approaches for learning classifiers in such a setting. We also develop a class of performance measures for evaluating the resulting classifiers. We present preliminary results that demonstrate the promise of the proposed approaches.",
author = "Feihong Wu and Jun Zhang and Vasant Honavar",
year = "2005",
doi = "10.1007/11527862_24",
language = "English (US)",
isbn = "3540278729",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "313--320",
booktitle = "Abstraction, Reformulation and Approximation - 6th International Symposium, SARA 2005, Proceedings",
address = "Germany",
note = "6th International Symposium on Abstraction, Reformulation and Approximation, SARA 2005 ; Conference date: 26-07-2005 Through 29-07-2005",
}