Hoche, S. and Wrobel, S. (2002). Scaling Boosting by Margin-based Inclusion of Features and Relations. In Elomaa, T., Mannila, H., and Toivonen, H., editors, Proceedings of the 13th European Conference on Machine Learning (ECML '02), volume 2430 of Lecture Notes in Computer Science, pages 148 -- 160. Springer, Heidelberg. Home/Search Document Details and Download
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Scaling Boosting by Margin-Based Inclusion of Features and.. - Hoche, Wrobel (2002) (1 citation) (Correct)
....all examples. The hypotheses maximizing the objective func tion is chosen as the current iteration s base classi er.Its prediction con dence is used to update the probability distribution for the next iteration. For a more detailed description and pseudocode RIB, the reader is referred to [8, 7]. 3 Margin Based Inclusion of Features and Relations The objective of our work is to accelerate the learning process of the boosted ILP learner RIB without deteriorating its prediction accuracy. The idea is to start the learner with a few features and relations to be considered for re nement, ....
S. Hoche, and S. Wrobel. Scaling Boosting by Margin-Based Inclusion of Features and Relations. Proc. 13th European Conf. on Machine Learning (ECML'02), 2002.
Active Relational Rule Learning in a Constrained Confidence-Rated.. - Hoche (2004) Self-citation (Hoche Wrobel) (Correct)
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Hoche, S. and Wrobel, S. (2002). Scaling Boosting by Margin-based Inclusion of Features and Relations. In Elomaa, T., Mannila, H., and Toivonen, H., editors, Proceedings of the 13th European Conference on Machine Learning (ECML '02), volume 2430 of Lecture Notes in Computer Science, pages 148 -- 160. Springer, Heidelberg.
Towards Feature Selection for Disk-Based Multirelational.. - Hoche, Wrobel (2003) Self-citation (Hoche Wrobel) (Correct)
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S. Hoche, and S. Wrobel. Scaling Boosting by Margin-Based Inclusion of Features and Relations. Proc. 13th European Conf. on Machine Learning (ECML'02), 2002.
A Comparative Evaluation of Feature Set Evolution Strategies.. - Hoche, Wrobel (2003) Self-citation (Hoche Wrobel) (Correct)
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S. Hoche, and S. Wrobel. Scaling Boosting by Margin-Based Inclusion of Features and Relations. Proc. 13th European Conf. on Machine Learning (ECML'02), 2002.
A Comparative Evaluation of Feature Set Evolution Strategies.. - Hoche, Wrobel (2003) Self-citation (Hoche Wrobel) (Correct)
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S. Hoche, and S. Wrobel. Scaling Boosting by Margin-Based Inclusion of Features and Relations. Proc. 13th European Conf. on Machine Learning (ECML'02), 2002.
Towards Feature Selection for Disk-Based Multirelational.. - Hoche, Wrobel (2003) Self-citation (Hoche Wrobel) (Correct)
No context found.
S. Hoche, and S. Wrobel. Scaling Boosting by Margin-Based Inclusion of Features and Relations. Proc. 13th European Conf. on Machine Learning (ECML'02), 2002.
A Comparative Evaluation of Feature Set Evolution Strategies.. - Hoche, Wrobel (2003) Self-citation (Hoche Wrobel) (Correct)
No context found.
S. Hoche, and S. Wrobel. Scaling Boosting by Margin-Based Inclusion of Features and Relations. Proc. 13th European Conf. on Machine Learning (ECML'02), 2002.
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