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Volumn 64, Issue 1-3, 2006, Pages 149-182

First order random forests: Learning relational classifiers with complex aggregates

Author keywords

Aggregation; Decision tree learning; Random forests; Relational learning

Indexed keywords

ALGORITHMS; DECISION THEORY; FUNCTIONS; LEARNING SYSTEMS; QUERY LANGUAGES; SET THEORY; TREES (MATHEMATICS);

EID: 33748272679     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-006-8713-9     Document Type: Conference Paper
Times cited : (54)

References (38)
  • 1
    • 9444271884 scopus 로고    scopus 로고
    • Guide to the financial data set
    • A. Siebes & P. Berka (Eds.)
    • Berka, P. (2000). Guide to the financial data set. In: A. Siebes & P. Berka (Eds.), The ECML/PKDD 2000 Discovery Challenge.
    • (2000) The ECML/PKDD 2000 Discovery Challenge
    • Berka, P.1
  • 3
    • 79958791859 scopus 로고    scopus 로고
    • Lookahead and discretization in ILP
    • Proceedings of the Seventh International Workshop on Inductive Logic Programming, Springer-Verlag
    • Blockeel, H., & De Raedt, L. (1997). Lookahead and discretization in ILP. In: Proceedings of the Seventh International Workshop on Inductive Logic Programming, vol. 1297 of Lecture Notes in Artificial Intelligence (pp. 77-85), Springer-Verlag.
    • (1997) Lecture Notes in Artificial Intelligence , vol.1297 , pp. 77-85
    • Blockeel, H.1    De Raedt, L.2
  • 4
    • 0032069371 scopus 로고    scopus 로고
    • Top-down induction of first order logical decision trees
    • Blockeel, H., & De Raedt, L. (1998). Top-down induction of first order logical decision trees. Artificial Intelligence, 101(1-2), 285-297.
    • (1998) Artificial Intelligence , vol.101 , Issue.1-2 , pp. 285-297
    • Blockeel, H.1    De Raedt, L.2
  • 6
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. (1996a). Bagging predictors. Machine Learning, 24(2), 123-140.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 8
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5-32.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 9
    • 7044227546 scopus 로고    scopus 로고
    • An empirical evalutation of bagging in inductive logic programming
    • Proceedings of the 12th International Conference on Inductive Logic Programming
    • de Castro Dutra, I., Page, D., Costa, V., & Shavlik, J. (2002). An empirical evalutation of bagging in inductive logic programming. In: Proceedings of the 12th International Conference on Inductive Logic Programming, vol. 2583 of Lecture Notes in Computer Science (pp. 48-65).
    • (2002) Lecture Notes in Computer Science , vol.2583 , pp. 48-65
    • De Castro Dutra, I.1    Page, D.2    Costa, V.3    Shavlik, J.4
  • 10
    • 84947905415 scopus 로고
    • Inductive constraint logic
    • K. P. Jantke, T. Shinohara, & T. Zeugmann (Eds.), Proceedings of the Sixth International Workshop on Algorithmic Learning Theory, Springer-Verlag
    • De Raedt, L., & Van Laer, W. (1995). Inductive constraint logic. In: K. P. Jantke, T. Shinohara, & T. Zeugmann (Eds.), Proceedings of the Sixth International Workshop on Algorithmic Learning Theory, vol. 997 of Lecture Notes in Artificial Intelligence (pp. 80-94), Springer-Verlag.
    • (1995) Lecture Notes in Artificial Intelligence , vol.997 , pp. 80-94
    • De Raedt, L.1    Van Laer, W.2
  • 11
    • 80053403826 scopus 로고    scopus 로고
    • Ensemble methods in machine learning
    • Proceedings of the 1th International Workshop on Multiple Classifier Systems
    • Dietterich, T. (2000). Ensemble methods in machine learning. In: Proceedings of the 1th International Workshop on Multiple Classifier Systems, vol. 1857 of Lecture Notes in Computer Science (pp. 1-15).
    • (2000) Lecture Notes in Computer Science , vol.1857 , pp. 1-15
    • Dietterich, T.1
  • 16
    • 33646424514 scopus 로고    scopus 로고
    • Relational learning using constrained confidence-rated boosting
    • C. Rouveirol, & M. Sebag (Eds.), Proceedings of the Eleventh International Conference on Inductive Logic Programming, Springer-Verlag
    • Hoche, S., & Wrobel, S. (2001). Relational learning using constrained confidence-rated boosting. In: C. Rouveirol, & M. Sebag (Eds.), Proceedings of the Eleventh International Conference on Inductive Logic Programming, vol. 2157 of Lecture Notes in Artificial Intelligence (pp. 51-64), Springer-Verlag.
    • (2001) Lecture Notes in Artificial Intelligence , vol.2157 , pp. 51-64
    • Hoche, S.1    Wrobel, S.2
  • 17
    • 84943258577 scopus 로고    scopus 로고
    • Propositionalisation and aggregates
    • L. De Raedt, & A. Siebes (Eds.), Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery, Springer
    • Knobbe, A., de Haas, M., & Siebes, A. (2001). Propositionalisation and aggregates. In: L. De Raedt, & A. Siebes (Eds.), Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery, vol. 2168 of Lecture Notes in Artificial Intelligence, (pp. 277-288), Springer.
    • (2001) Lecture Notes in Artificial Intelligence , vol.2168 , pp. 277-288
    • Knobbe, A.1    De Haas, M.2    Siebes, A.3
  • 19
    • 78149287348 scopus 로고    scopus 로고
    • Probabilistic relational models
    • Proceedings of the Ninth International Workshop on Inductive Logic Programming, SpringerVerlag
    • Koller, D. (1999). Probabilistic relational models. In: Proceedings of the Ninth International Workshop on Inductive Logic Programming, vol. 1634 of Lecture Notes in Artificial Intelligence (pp. 3-13), SpringerVerlag.
    • (1999) Lecture Notes in Artificial Intelligence , vol.1634 , pp. 3-13
    • Koller, D.1
  • 20
    • 9444220847 scopus 로고    scopus 로고
    • Comparative evaluation of approaches to propositionalization
    • Proceedings of the 13th International Conference on Inductive Logic Programming, Springer-Verlag
    • Krogel, M.-A., Rawles, S., Železný, F., Flach, P., Lavrač, N., & Wrobel, S. (2003). Comparative evaluation of approaches to propositionalization. In: Proceedings of the 13th International Conference on Inductive Logic Programming, vol. 2835 of Lecture Notes in Artificial Intelligence (pp. 194-217), Springer-Verlag.
    • (2003) Lecture Notes in Artificial Intelligence , vol.2835 , pp. 194-217
    • Krogel, M.-A.1    Rawles, S.2    Železný, F.3    Flach, P.4    Lavrač, N.5    Wrobel, S.6
  • 25
    • 0004109056 scopus 로고
    • Muggleton, S. (Ed.) Academic Press
    • Muggleton, S. (Ed.) (1992). Inductive Logic Programming. Academic Press.
    • (1992) Inductive Logic Programming
  • 29
    • 0001602577 scopus 로고
    • A note on inductive generalization
    • Plotkin, G. (1969). A note on inductive generalization. Machine Intelligence, 5, 153-163.
    • (1969) Machine Intelligence , vol.5 , pp. 153-163
    • Plotkin, G.1
  • 30
    • 0035283313 scopus 로고    scopus 로고
    • Robust classification for imprecise environments
    • Provost, F. J., & Fawcett, T. (2001). Robust classification for imprecise environments. Machine Learning, 42(3), 203-231.
    • (2001) Machine Learning , vol.42 , Issue.3 , pp. 203-231
    • Provost, F.J.1    Fawcett, T.2
  • 31
    • 0001172265 scopus 로고
    • Learning logical definitions from relations
    • Quinlan, J. (1990). Learning logical definitions from relations. Machine Learning, 5, 239-266.
    • (1990) Machine Learning , vol.5 , pp. 239-266
    • Quinlan, J.1
  • 33
  • 34
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting algorithms using confidence-rated predictions
    • Schapire, R. E., & Singer, Y. (1999). Improved boosting algorithms using confidence-rated predictions. Machine Learning, 37(3), 297-336.
    • (1999) Machine Learning , vol.37 , Issue.3 , pp. 297-336
    • Schapire, R.E.1    Singer, Y.2
  • 35
    • 2542454374 scopus 로고    scopus 로고
    • Srinivasan, A. (2003). The aleph manual. http://web.comlab.ox.ac.uk/oucl/ research/areas/machlearn/Aleph/.
    • (2003) The Aleph Manual
    • Srinivasan, A.1
  • 36
    • 84949229045 scopus 로고    scopus 로고
    • An assessment of ilp-assisted models for toxicology and the PTE-3 experiment
    • Proceedings of the Ninth International Workshop on Inductive Logic Programming, Springer-Verlag
    • Srinivasan, A., King, R., & Bristol, D. (1999). An assessment of ilp-assisted models for toxicology and the PTE-3 experiment. In: Proceedings of the Ninth International Workshop on Inductive Logic Programming, vol. 1634 of Lecture Notes in Artificial Intelligence (pp. 291-302), Springer-Verlag.
    • (1999) Lecture Notes in Artificial Intelligence , vol.1634 , pp. 291-302
    • Srinivasan, A.1    King, R.2    Bristol, D.3
  • 37
    • 0041656711 scopus 로고
    • Comparing the use of background knowledge by Inductive Logic Programming systems
    • L. De Raedt (Ed.), Department of Computer Science, Katholieke Universiteit Leuven
    • Srinivasan, A., Muggleton, S., & King, R. (1995). Comparing the use of background knowledge by Inductive Logic Programming systems. In: L. De Raedt (Ed.), Proceedings of the Fifth International Workshop on Inductive Logic Programming (pp. 199-230). Department of Computer Science, Katholieke Universiteit Leuven.
    • (1995) Proceedings of the Fifth International Workshop on Inductive Logic Programming , pp. 199-230
    • Srinivasan, A.1    Muggleton, S.2    King, R.3
  • 38
    • 26944439068 scopus 로고    scopus 로고
    • Classifying relational data with neural networks
    • Proceedings of 15th International Conference on Inductive Logic Programming, Bonn, Germany, Springer
    • Uwents, W., & Blockeel, H. (2005). Classifying relational data with neural networks. In: Proceedings of 15th International Conference on Inductive Logic Programming, Bonn, Germany, vol. 3625 of Lecture Notes in Artificial Intelligence (pp. 384-396), Springer.
    • (2005) Lecture Notes in Artificial Intelligence , vol.3625 , pp. 384-396
    • Uwents, W.1    Blockeel, H.2


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