{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T00:03:22Z","timestamp":1725494602764},"publisher-location":"Berlin, Heidelberg","reference-count":27,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540440369"},{"type":"electronic","value":"9783540367550"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2002]]},"DOI":"10.1007\/3-540-36755-1_13","type":"book-chapter","created":{"date-parts":[[2007,11,13]],"date-time":"2007-11-13T21:03:29Z","timestamp":1194987809000},"page":"148-160","source":"Crossref","is-referenced-by-count":4,"title":["Scaling Boosting by Margin-Based Inclusion of Features and Relations"],"prefix":"10.1007","author":[{"given":"Susanne","family":"Hoche","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Wrobel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2002,9,20]]},"reference":[{"key":"13_CR1","unstructured":"P. Berka. Guide to the financial Data Set. In: A. Siebes and P. Berka, editors, PKDD2000 Discovery Challenge, 2000."},{"issue":"2","key":"13_CR2","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1145\/507515.507523","volume":"3","author":"J. Cheng","year":"2002","unstructured":"J. Cheng, C. Hatzis, H. Hayashi, M.-A. Krogel, Sh. Morishita, D. Page, and J. Sese. KDD Cup 2001 Report. ISIGKDD Explorations, 3(2):47\u201364, 2002.","journal-title":"ISIGKDD Explorations"},{"key":"13_CR3","unstructured":"W. Cohen and Y. Singer. A Simple, Fast, and Effective Rule Learner. Proc. of 16th National Conference on Artificial Intelligence, 1999."},{"key":"13_CR4","unstructured":"U. M. Fayyad, and K. B. Irani. Multi-Interval Discretization of Continuous-Valued Attributes for Classi.cation Learning. Proc. of 13th Int. Joint Conf. on AI, 1993."},{"key":"13_CR5","unstructured":"Y. Freund, and R. E. Schapire. Experiments with a New Boosting Algorithm. Proc. of 13th International Conference on Machine Learning, 1996."},{"key":"13_CR6","unstructured":"A. J. Grove, and D. Schuurmans. Boosting in the limit: Maximizing the margin of learned ensembles. Proc. of 15th National Conf. on AI, 1998."},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"S. Hoche, and S. Wrobel. Relational Learning Using Constrained Confidence-Rated Boosting. Proc. 11th Int. Conf. on Inductive Logic Programming (ILP), 2001.","DOI":"10.1007\/3-540-44797-0_5"},{"key":"13_CR8","volume-title":"First Order Regression","author":"A. Karalic","year":"1995","unstructured":"A. Karalic. First Order Regression. PhD thesis, University of Ljubljana, Faculty of Computer Science, Ljubljana, Slovenia, 1995."},{"key":"13_CR9","unstructured":"R. D. King, S. Muggleton, R. A. Lewis, and M. J. E. Sternberg. Drug design by machine learning: The use of inductive logic programming to model the structure activity relationships of trimethoprim analogues binding to dihydrofolate reductase. Proc. of the National Academy of Sciences of the USA 89(23):11322\u201311326, 1992."},{"issue":"3","key":"13_CR10","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1007\/BF03037232","volume":"13","author":"R. D. King","year":"1995","unstructured":"R. D. King, A. Srinivasan, and M. Sternberg. Relating chemical activity to structure: An examination of ILP successes. New Generation Computing, Special issue on Inductive Logic Programming 13(3\u20134):411\u2013434, 1995.","journal-title":"New Generation Computing, Special issue on Inductive Logic Programming"},{"key":"13_CR11","unstructured":"S. Kramer, and L. De Raedt. Feature construction with version spaces for biochemical applications. Proc. of the 18th ICML, 2001."},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"S. Kramer. Demand-driven Construction of Structural Features in ILP. Proc. 11th Int. Conf. on Inductive Logic Programming (ILP), 2001.","DOI":"10.1007\/3-540-44797-0_11"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"M.-A. Krogel, and S. Wrobel. Transformation-Based Learning Using Multirelational Aggregation. Proc. 11th Int. Conf. on Inductive Logic Programming (ILP), 2001.","DOI":"10.1007\/3-540-44797-0_12"},{"key":"13_CR14","unstructured":"W. J. McGill. Multivariate information transmission. IRE Trans. Inf. Theory, 1995."},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"S. Muggleton. Inverse Entailment and Progol. New Gen. Computing, 13, 1995.","DOI":"10.1007\/BF03037227"},{"key":"13_CR16","unstructured":"P. M. Murphy, and D. W. Aha. UCI repository of machine learning databases. University of California-Irvine, Department of Information and Computer Science, 1994. http:\/\/www1.ics.uci.edu\/ mlearn\/MLRepository.html"},{"key":"13_CR17","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1613\/jair.614","volume":"11","author":"D. Opitz","year":"1999","unstructured":"D. Opitz, and R. Maclin. Popular Ensemble Method: An Empirical Study. Journal of Artificial Intelligence Research 11, pages 169\u2013198, 1999.","journal-title":"Journal of Artificial Intelligence Research"},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"L. Pena Castillo, S. Wrobel. On the Stability of Example-Driven Learning Systems: a Case Study in Multirelational Learning. Proceedings of MICAI 2002, 2002.","DOI":"10.1007\/3-540-46016-0_34"},{"key":"13_CR19","unstructured":"J. R. Quinlan. Bagging, boosting, and C4.5. Proc. of 14th Nat. Conf. on AI, 1996."},{"key":"13_CR20","doi-asserted-by":"crossref","unstructured":"J. R. Quinlan. Boosting First-Order Learning. Algorithmic Learning Theory, 1996.","DOI":"10.1007\/3-540-61863-5_42"},{"key":"13_CR21","doi-asserted-by":"crossref","unstructured":"J. R. Quinlan and R. M. Cameron-Jones. FOIL: A Midterm Report. In P. Brazdil, editor, Proc. of the 6th European Conference on Machine Learning, 667: 3\u201320, 1993.","DOI":"10.1007\/3-540-56602-3_124"},{"key":"13_CR22","doi-asserted-by":"crossref","unstructured":"R. E. Schapire. Theoretical views of boosting and applications. Proceedings of the 10th International Conference on Algorithmic Learning Theory, 1999.","DOI":"10.1007\/3-540-46769-6_2"},{"key":"13_CR23","doi-asserted-by":"crossref","unstructured":"M. Sebban, and R. Nock. Contribution of Boosting in Wrapper Models. In: J. M. Zytkow, and J. Rauch, eds, Proc. of the PKDD\u201999, 1999.","DOI":"10.1007\/978-3-540-48247-5_23"},{"issue":"5","key":"13_CR24","doi-asserted-by":"publisher","first-page":"1651","DOI":"10.1214\/aos\/1024691352","volume":"26","author":"R. E. Schapire","year":"1998","unstructured":"R. E. Schapire, Y. Freund, P. Bartlett, and W. S. Lee. Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods. The Annals of Statistics, 26(5):1651\u20131686, 1998.","journal-title":"The Annals of Statistics"},{"key":"13_CR25","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","volume":"27","author":"C. E. Shannon","year":"1948","unstructured":"C. E. Shannon. A mathematical theory of communication. Bell. Syst. Techn. J., 27:379\u2013423, 1948.","journal-title":"Bell. Syst. Techn. J."},{"key":"13_CR26","doi-asserted-by":"crossref","unstructured":"A. Srinivasan, S. Muggleton, M. J. E. Sternberg, and R. D. King. Theories for mutagenicity: A study in first-order and feature-based induction. Artificial Intelligence, 1996.","DOI":"10.1016\/0004-3702(95)00122-0"},{"key":"13_CR27","volume-title":"A Study of Distance-based Machine Learning Algorithms","author":"D. Wettschereck","year":"1994","unstructured":"D. Wettschereck. A Study of Distance-based Machine Learning Algorithms. PhD thesis, Oregon State University,Computer Science Department, Corvallis, USA 1994."}],"container-title":["Lecture Notes in Computer Science","Machine Learning: ECML 2002"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-36755-1_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,4]],"date-time":"2019-05-04T10:49:39Z","timestamp":1556966979000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-36755-1_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002]]},"ISBN":["9783540440369","9783540367550"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/3-540-36755-1_13","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2002]]}}}