Beyond Concept Learning

Author:

Fürnkranz Johannes,Gamberger Dragan,Lavrač Nada

Publisher

Springer Berlin Heidelberg

Reference105 articles.

1. Ali, K. M., & Pazzani, M. J. (1993). HYDRA: A noise-tolerant relational concept learning algorithm. In R. Bajcsy (Ed.), Proceedings of the 13th Joint International Conference on Artificial Intelligence (IJCAI-93), Chambéry, France (pp. 1064–1071). San Mateo, CA: Morgan Kaufmann.

2. Allwein, E. L., Schapire, R. E., & Singer, Y. (2000). Reducing multiclass to binary: A unifying approach for margin classifiers. Journal of Machine Learning Research, 1, 113–141.

3. Bisson, G. (1992). Conceptual clustering in a first order logic representation. In B. Neumann (Ed.), Proceedings of the 10th European Conference on Artificial Intelligence (ECAI-92), Vienna (pp. 458–462). Chichester, UK/New York: Wiley.

4. Blaszczynski, J., Stefanowski, J., & Zajac, M. (2009). Ensembles of abstaining classifiers based on rule sets. In J. Rauch, Z. W. Ras, P. Berka, & T. Elomaa (Eds.), Proceedings of the 18th International Symposium on Foundations of Intelligent Systems (ISMIS-09), Prague, Czech Republic (pp. 382–391). Berlin, Germany: Springer.

5. Blockeel, H., De Raedt, L., & Ramon, J. (1998). Top-down induction of clustering trees. In J. Shavlik (Ed.), Proceedings of the 15th International Conference on Machine Learning, Madison, WI (pp. 55–63). San Francisco: Morgan Kaufmann.

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