{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,23]],"date-time":"2025-01-23T11:40:09Z","timestamp":1737632409231,"version":"3.33.0"},"publisher-location":"Berlin, Heidelberg","reference-count":21,"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_36","type":"book-chapter","created":{"date-parts":[[2007,11,13]],"date-time":"2007-11-13T21:03:29Z","timestamp":1194987809000},"page":"431-443","source":"Crossref","is-referenced-by-count":0,"title":["Boosting Density Function Estimators"],"prefix":"10.1007","author":[{"given":"Franck","family":"Thollard","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marc","family":"Sebban","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philippe","family":"Ezequel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2002,9,20]]},"reference":[{"issue":"1","key":"36_CR1","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1023\/A:1007515423169","volume":"36","author":"E. Bauer","year":"1999","unstructured":"E. Bauer and R. Kohavi. An empirical comparison of voting classification algorithms: Bagging, boosting, and variants. Machine Learning, 36(1\u20132):105\u2013139, 1999.","journal-title":"Machine Learning"},{"key":"36_CR2","doi-asserted-by":"crossref","unstructured":"P. Bladi, Y. Chavin, and T. Hunkapillerand McClure. Hidden markov models of biological primaryseq uence information. In National Academy of Science, pages 1059\u20131063, USA, 1991.","DOI":"10.1073\/pnas.91.3.1059"},{"key":"36_CR3","unstructured":"Andrew Brown and Geoffrey Hinton. Products of hidden markov models. In T. Jaakkola and T. Richardson, editors, Artificial Intelligence and Statistics, pages 3\u201311. Morgan Kaufmann, 2001."},{"issue":"1","key":"36_CR4","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1006\/jcss.1997.1504","volume":"55","author":"Y. Freund","year":"1997","unstructured":"Y. Freund and R. E. Shapire. A decision theoretic generalization of online learning and an application to boosting. Intl. Journal of Computer and System Sciences, 55(1):119\u2013139, 1997.","journal-title":"Intl. Journal of Computer and System Sciences"},{"key":"36_CR5","doi-asserted-by":"crossref","unstructured":"Joshua Goodman. A bit of progress in language modeling. Technical report, Microsoft Reserach, 2001.","DOI":"10.1006\/csla.2001.0174"},{"key":"36_CR6","doi-asserted-by":"crossref","unstructured":"L. Hirschman. Multi-site data collection for a spoken language corpus. In DARPA Speech and Natural Language Workshop, pages 7\u201314, 1992.","DOI":"10.3115\/1075527.1075531"},{"key":"36_CR7","volume-title":"Statistical Methods for Speech Recognition","author":"F. Jelinek","year":"1998","unstructured":"Frederick Jelinek. Statistical Methods for Speech Recognition. The MIT Press, Cambridge, Massachusetts, 1998."},{"key":"36_CR8","volume-title":"Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition","author":"D. Jurafsky","year":"2000","unstructured":"D. Jurafsky and J. H. Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice Hall, Englewood Cliffs, New Jersey, 2000."},{"key":"36_CR9","doi-asserted-by":"crossref","unstructured":"M. J. Kearns, Y. Mansour, D. Ron, R. Rubinfeld, R. E. Schapire, and L. Sellie. On the learnabilityof discrete distributions. In Proc. of the 25th Annual ACM Symposium on Theory of Computing, pages 273\u2013282, 1994.","DOI":"10.1145\/195058.195155"},{"key":"36_CR10","doi-asserted-by":"publisher","first-page":"1501","DOI":"10.1006\/jmbi.1994.1104","volume":"235","author":"A. Krogh","year":"1994","unstructured":"Anders Krogh, Michael Brown, I. SairaMian, Kimmen Sjolander, and David Haussler. Hidden markov models in computational biology: Applications to protein modeling. Journal of Molecular Biology, 235:1501\u20131531, 1994.","journal-title":"Journal of Molecular Biology"},{"key":"36_CR11","unstructured":"R. Maclin and D. Opitz. An empirical evaluation of bagging and boosting. In Proc. of the Fourteenth Natl. Conf. on Artificial Intelligence, pages 546\u2013551, 1997."},{"key":"36_CR12","doi-asserted-by":"crossref","unstructured":"E. Roche and Yves Schabes. Finite-State Language Processing. MIT Press, 1997.","DOI":"10.7551\/mitpress\/3007.001.0001"},{"key":"36_CR13","doi-asserted-by":"crossref","unstructured":"D. Ron, Y. Singer, and N. Tishby. On the learnability and usage of acyclic probabilistic finite automata. In ACM, pages 31\u201340, Santa Cruz, 1995. COLT\u201995.","DOI":"10.1145\/225298.225302"},{"key":"36_CR14","doi-asserted-by":"crossref","unstructured":"E. Tjong Kim Sang. Text chunking bysy stem combination. In CoNLLL-2000 and LLL-2000, pages 151\u2013153, Lisbon, Portugal, 2000.","DOI":"10.3115\/1117601.1117638"},{"key":"36_CR15","doi-asserted-by":"crossref","unstructured":"R. E. Schapire, Y. Freund, P. Bartlett, and W. Sun Lee. Boosting the margin: a new explanation for the effectiveness of voting methods. Annals of Statistics, 1998.","DOI":"10.1214\/aos\/1024691352"},{"key":"36_CR16","doi-asserted-by":"crossref","unstructured":"R. E. Schapire and Y. Singer. Improved boosting algorithms using confidence-rated predictions. In Proceedings of the Eleventh Annual Conference on Computational Learning Theory, 1998.","DOI":"10.1145\/279943.279960"},{"key":"36_CR17","doi-asserted-by":"crossref","unstructured":"M. Sebban and R. Nock. Contribution of boosting in wrapper models. In Proc. of the Thirth European Conf. on Principles and Practice of Knowledge Discovery in Databases, pages 214\u2013222, 1999.","DOI":"10.1007\/978-3-540-48247-5_23"},{"key":"36_CR18","unstructured":"M. Sebban, R. Nock, and S. Lallich. Boosting neighborhood-based classifiers. In Proc. of the Seventeenth Intl. Conf. on Machine Learning, 2001."},{"key":"36_CR19","doi-asserted-by":"crossref","unstructured":"A. Stolcke and S. Omohundro. Inducting probabilistic grammars by bayesian model merging. In Lecture Notes in Artifitial Intelligence, editor, Second Intl Collo. on Gramatical Inference, 862, pages 106\u2013118. ICGI-94, 1994.","DOI":"10.1007\/3-540-58473-0_141"},{"key":"36_CR20","unstructured":"F. Thollard. Improving probabilistic grammatical inference core algorithms with post-processing techniques. In Eighth Intl. Conf. on Machine Learning, pages 561\u2013568, Williams, July 2001. Morgan Kauffman."},{"key":"36_CR21","unstructured":"F. Thollard, P. Dupont, and C. de la Higuera. Probabilistic dfa inference using kullback-leibler divergence and minimality. In Pat Langley, editor, Seventh Intl. Conf. on Machine Learning, San Francisco, June 2000. Morgan Kaufmann."}],"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_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,22]],"date-time":"2025-01-22T08:22:56Z","timestamp":1737534176000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-36755-1_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002]]},"ISBN":["9783540440369","9783540367550"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/3-540-36755-1_36","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2002]]}}}