A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation-Reference-Cited by-同舟云学术

A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation

Published:2010 Issue: Volume: Page:16-26
ISSN:0302-9743
Container-title:Discovery Science
language:
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Author:

Aiguzhinov Artur,Soares Carlos,Serra Ana Paula

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-16184-1_2

Reference17 articles.

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3. Brazdil, P., Soares, C., Giraud-Carrier, C., Vilalta, R.: Metalearning Applications to Data Mining. Springer, Heidelberg (2009)

4. Cheng, W., Dembczynski, K., Hüllermeier, E.: Label Ranking Methods based on the Plackett-Luce Model. In: 27th International Conference on Machine Learning, Haifa, Israel (2010)

5. Cheng, W., Hühn, J., Hüllermeier, E.: Decision tree and instance-based learning for label ranking. In: ICML 2009: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 161–168. ACM, New York (2009)

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