ART-Based Neural Networks for Multi-label Classification-Reference-Cited by-同舟云学术

ART-Based Neural Networks for Multi-label Classification

Published:2009 Issue: Volume: Page:167-177
ISSN:0302-9743
Container-title:Advances in Intelligent Data Analysis VIII
language:
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Author:

Sapozhnikova Elena P.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-03915-7_15

Reference21 articles.

1. Schapire, R.E., Singer, Y.: BoosTexter: a Boosting-based System for Text Categorization. Machine Learning 39, 135–168 (2000)

2. Elisseeff, A., Weston, J.: A Kernel Method for Multi-labelled Classification. In: Advances in Neural Information Processing Systems, pp. 681–687 (2001)

3. Lecture Notes in Artificial Intelligence;S. Godbole,2004

4. Boutell, M.R., Shen, X., Luo, J., Brown, C.: Learning Multi-label Semantic Scene Classification. Pattern Recognition 37, 1757–1771 (2004)

5. Zhang, M.-L., Zhou, Z.-H.: A k-Nearest Neighbor Based Algorithm for Multi-label Classification. In: International Conference on Granular Computing, pp. 718–721 (2005)

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