S. Hoche, and S. Wrobel. Relational Learning Using Constrained Confidence-Rated Boosting. Proc. 11th Int. Conf. on Inductive Logic Programming (ILP), 2001. Home/Search Document Details and Download
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An Empirical Evaluation of Bagging in Inductive Logic.. - Dutra, Page, Costa.. (2002) (2 citations) (Correct)
....Logic Programming. To our knowledge, the original work in this area is Quinlan s work on the use of boosting in FOIL [25] His results suggested that boosting could be beneficial for first order induction. More re cently, Hoche proposed confidence rated boosting for ILP with good results [15]. Zemke recently proposed bagging as a method for combining ILP classifiers with other classifiers [34] The contributions of our paper are to experimentally eval uate bagging on three particularly challenging ILP applications, and to compare bagging with the approach of different seeds. The ....
S. Hoche and S. Wrobel. Relational learning using constrained confidence-rated boosting. In C41ine Rouveirol and Michele Sebag, editors, Proceedings of the 11th International Conference on Inductive Logic Programming, volume 2157 of Lecture Notes in Artificial Intelligence, pages 51-64. Springer-Verlag, September 2001.
From Propositional to First Order Logic in Machine Learning and.. - Van Laer (2002) (1 citation) (Correct)
....output codes (ECOC) to handle multiple classes. Most boosting algorithms however are formulated in a propositional context. There is only a limited number of papers on boosting in a relational context. A first one is [Quinlan, 2001] where a boosted version of FFoIL is given, and a second one is [Hoche and Wrobel, 2001], where the approach in SLIPPER [Cohen and Singer, 1999] is adapted to a first order domain. The latter boosting approach is a potential candidate for application in ICL. There is a very limited prototype of a boosted ICL (based on version 3) Also for TILDE, there has been some prototyping with ....
S. Hoche and S. Wrobel. Relational learning us- ing constrained confidence-rated boosting. In Cline Rouveirol and Michele Sebag, editors, Proceedings of the Eleventh International Conference on Inductive Logic Programming, volume 2157 of Lecture Notes in Artificial Intelligence, pages 51-64. Springer-Verlag, September 2001.
Scaling Boosting by Margin-Based Inclusion of Features and.. - Hoche, Wrobel (2002) (1 citation) Self-citation (Hoche Wrobel) (Correct)
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S. Hoche, and S. Wrobel. Relational Learning Using Constrained Confidence-Rated Boosting. Proc. 11th Int. Conf. on Inductive Logic Programming (ILP), 2001.
Effective Rule Induction from Molecular Structures.. - Hoche, Horvath, Wrobel Self-citation (Hoche Wrobel) (Correct)
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S. Hoche and S. Wrobel. Relational Learning Using Constrained Confidence-Rated Boosting. Proc. 11th Int. Conf. on Inductive Logic Programming (ILP), 2001.
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. (2001). Relational Learning Using Constrained Confidence-Rated Boosting. In Rouveirol, C. and Sebag, M., editors, Proceedings of the 11th International volume 2157 of Lecture Notes in Computer Science, pages 51 -- 64. 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. Relational Learning Using Constrained Confidence-Rated Boosting. Proc. 11th Int. Conf. on Inductive Logic Programming (ILP), 2001.
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. Relational Learning Using Constrained Confidence-Rated Boosting. Proc. 11th Int. Conf. on Inductive Logic Programming (ILP), 2001.
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. Relational Learning Using Constrained Confidence-Rated Boosting. Proc. 11th Int. Conf. on ILP, 2001.
Effective Rule Induction from Molecular Structures.. - Hoche, Horvath, Wrobel Self-citation (Hoche Wrobel) (Correct)
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S. Hoche and S. Wrobel. Relational Learning Using Constrained Confidence-Rated Boosting. Proc. 11th Int. Conf. on Inductive Logic Programming (ILP), 2001.
Towards Feature Selection for Disk-Based Multirelational.. - Hoche, Wrobel (2003) Self-citation (Hoche Wrobel) (Correct)
No context found.
S. Hoche, and S. Wrobel. Relational Learning Using Constrained Confidence-Rated Boosting. Proc. 11th Int. Conf. on Inductive Logic Programming (ILP), 2001.
Effective Rule Induction from Molecular Structures.. - Hoche.. Self-citation (Hoche Wrobel) (Correct)
No context found.
S. Hoche and S. Wrobel. Relational Learning Using Constrained Confidence-Rated Boosting. Proc. 11th Int. Conf. on Inductive Logic Programming (ILP), 2001.
Effective Rule Induction from Molecular Structures.. - Hoche, Horvath, Wrobel (2003) Self-citation (Hoche Wrobel) (Correct)
No context found.
S. Hoche and S. Wrobel. Relational Learning Using Constrained Confidence-Rated Boosting. Proc. 11th Int. Conf. on Inductive Logic Programming (ILP), 2001.
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. Relational Learning Using Constrained Confidence-Rated Boosting. Proc. 11th Int. Conf. on ILP, 2001.
Relational Data Mining with Inductive Logic . . . - Mooney (2004) (Correct)
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Hoche, S., and Wrobel, S. 2001. Relational learning using constrained confidence-rated boosting. In Rouveirol, C., and Sebag, M., eds., Proceedings of the 11th International Conference on Inductive Logic Programming, volume 2157 of Lecture Notes in Artificial Intelligence, 51--64. Springer-Verlag.
Learning Ensembles of First-Order Clauses for.. - Goadrich, Oliphant.. (2004) (Correct)
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S. Hoche and S. Wrobel. Relational Learning Using Constrained Confidence-Rated Boosting. In 11th International Conference on Inductive Logic Programming, Strasbourg, France, 2001.
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