Author:
Blockeel Hendrik,Schietgat Leander,Struyf Jan,Džeroski Sašo,Clare Amanda
Publisher
Springer Berlin Heidelberg
Reference14 articles.
1. Rousu, J., Saunders, C., Szedmak, S., Shawe-Taylor, J.: Learning hierarchical multi-category text classification models. In: De Raedt, L., Wrobel, S. (eds.) Proceedings of the 22nd International Conference on Machine Learning, pp. 744–751. ACM Press, New York (2005)
2. Barutcuoglu, Z., Schapire, R.E., Troyanskaya, O.G.: Hierarchical multi-label prediction of gene function. Bioinformatics 22(7), 830–836 (2006)
3. Weiss, G.M., Provost, F.J.: Learning when training data are costly: The effect of class distribution on tree induction. J. Artif. Intell. Res. (JAIR) 19, 315–354 (2003)
4. Lecture Notes in Computer Science;A. Clare,2001
5. Clare, A.: Machine learning and data mining for yeast functional genomics. PhD thesis, University of Wales, Aberystwyth (2003)
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