A Classifier Design Based on Combining Multiple Components by Maximum Entropy Principle.

Akinori Fujino|Naonori Ueda|Kazumi Saito


Anthology ID:DBLP:conf/airs/FujinoUS05
Volume:Information Retrieval Technology, Second Asia Information Retrieval Symposium, AIRS 2005, Jeju Island, Korea, October 13-15, 2005, Proceedings
Year:2005
Venue:Asia Information Retrieval Symposium (AIRS)
Publisher:Springer
Pages:423-438
URL:https://doi.org/10.1007/11562382_33
DOI:https://doi.org/10.1007/11562382_33
DBLP:conf/airs/FujinoUS05
BibTeX:
@inproceedings{fujino-2005-classifier, author = {Akinori Fujino and Naonori Ueda and Kazumi Saito}, editor = {Gary Geunbae Lee and Akio Yamada and Helen M. Meng and Sung-Hyon Myaeng}, title = {{A Classifier Design Based on Combining Multiple Components by Maximum Entropy Principle}}, booktitle = {{Information Retrieval Technology, Second Asia Information Retrieval Symposium, AIRS 2005, Jeju Island, Korea, October 13-15, 2005, Proceedings}}, series = {Lecture Notes in Computer Science}, volume = {3689}, pages = {423--438}, publisher = {Springer}, year = {2005}, url = {https://doi.org/10.1007/11562382_33}, doi = {https://doi.org/10.1007/11562382_33} }