{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T15:45:17Z","timestamp":1772293517816,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":18,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540438182","type":"print"},{"value":"9783540454281","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2002]]},"DOI":"10.1007\/3-540-45428-4_8","type":"book-chapter","created":{"date-parts":[[2007,5,19]],"date-time":"2007-05-19T20:50:15Z","timestamp":1179607815000},"page":"81-90","source":"Crossref","is-referenced-by-count":40,"title":["Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse"],"prefix":"10.1007","author":[{"given":"Ludmila I.","family":"Kuncheva","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher J.","family":"Whitaker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2002,6,21]]},"reference":[{"key":"8_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, 36:105\u2013142, 1999.","journal-title":"Machine Learning"},{"key":"8_CR2","doi-asserted-by":"crossref","unstructured":"P. Cunningham and J. Carney. Diversity versus quality in classification ensembles based on feature selection. Technical Report TCD-CS-2000-02, Department of Computer Science, Trinity College Dublin, 2000.","DOI":"10.1007\/3-540-45164-1_12"},{"key":"8_CR3","series-title":"Lect Notes Comput Sci","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/3-540-45014-9_1","volume-title":"Multiple Classifier Systems","author":"T.G. Dietterich","year":"2000","unstructured":"T.G. Dietterich. Ensemble methods in machine learning. In J. Kittler and F. Roli, editors, Multiple Classifier Systems, volume 1857 of Lecture Notes in Computer Science, pages 1\u201315, Cagliari, Italy, 2000. Springer."},{"key":"8_CR4","volume-title":"Pattern Classification","author":"R.O. Duda","year":"2001","unstructured":"R.O. Duda, P.E. Hart, and D.G. Stork. Pattern Classification. John Wiley & Sons, NY, second edition, 2001.","edition":"second edition"},{"issue":"1","key":"8_CR5","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. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119\u2013139, 1997.","journal-title":"Journal of Computer and System Sciences"},{"key":"8_CR6","doi-asserted-by":"crossref","unstructured":"S. Hashem, B. Schmeiser, and Y. Yih. Optimal linear combinations of neural networks: an overview. In IEEE International Conference on Neural Networks, pages 1507\u20131512, Orlando, Florida, 1994.","DOI":"10.1109\/ICNN.1994.374511"},{"key":"8_CR7","first-page":"231","volume-title":"Advances in Neural Information Processing Systems","author":"A. Krogh","year":"1995","unstructured":"A. Krogh and J. Vedelsby. Neural network ensembles, cross validation and active learning. In G. Tesauro, D.S. Touretzky, and T.K. Leen, editors, Advances in Neural Information Processing Systems, volume 7, pages 231\u2013238. MIT Press, Cambridge, MA, 1995."},{"key":"8_CR8","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-7908-1850-5","volume-title":"Fuzzy Classifier Design","author":"L.I. Kuncheva","year":"2000","unstructured":"L.I. Kuncheva. Fuzzy Classifier Design. Studies in Fuzziness and Soft Computing. Springer Verlag, Heidelberg, 2000."},{"key":"8_CR9","doi-asserted-by":"crossref","unstructured":"L.I. Kuncheva and C. J. Whitaker. Ten measures of diversity in classifier ensembles: limits for two classifiers. In Proc. IEE Workshop on Intelligent Sensor Processing, pages 10\/1\u201310\/6, Birmingham, February 2001. IEE.","DOI":"10.1049\/ic:20010105"},{"key":"8_CR10","first-page":"169","volume":"2","author":"L.I. Kuncheva","year":"2000","unstructured":"L.I. Kuncheva, C.J. Whitaker, C.A. Shipp, and R.P.W. Duin. Is independence good for combining classifiers? In Proc. 15th International Conference on Pattern Recognition, volume 2, pages 169\u2013171, Barcelona, Spain, 2000.","journal-title":"Proc. 15th International Conference on Pattern Recognition"},{"key":"8_CR11","series-title":"Lect Notes Comput Sci","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1007\/3-540-45014-9_7","volume-title":"Multiple Classifier Systems","author":"L. Lam","year":"2000","unstructured":"L. Lam. Classifier combinations: implementations and theoretical issues. In J. Kittler and F. Roli, editors, Multiple Classifier Systems, volume 1857 of Lecture Notes in Computer Science, pages 78\u201386, Cagliari, Italy, 2000. Springer."},{"issue":"3\/4","key":"8_CR12","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1080\/095400996116820","volume":"8","author":"B.E. Rosen","year":"1996","unstructured":"B.E. Rosen. Ensemble learning using decorrelated neural networks. Connection Science, 8(3\/4):373\u2013383, 1996.","journal-title":"Connection Science"},{"key":"8_CR13","doi-asserted-by":"crossref","unstructured":"R.E. Schapire. Theoretical views of boosting. In Proc. 4th European Conference on Computational Learning Theory, pages 1\u201310, 1999.","DOI":"10.1007\/3-540-49097-3_1"},{"key":"8_CR14","doi-asserted-by":"crossref","unstructured":"C.A. Shipp and L.I. Kuncheva. Relationships between combination methods and measures of diversity in combining classifiers. Information Fusion. (accepted).","DOI":"10.1016\/S1566-2535(02)00051-9"},{"key":"8_CR15","unstructured":"P.H.A. Sneath and R.R. Sokal. Numerical Taxonomy. W.H. Freeman & Co, 1973."},{"issue":"3\/4","key":"8_CR16","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1080\/095400996116839","volume":"8","author":"K. Tumer","year":"1996","unstructured":"K. Tumer and J. Ghosh. Error correlation and error reduction in ensemble classifiers. Connection Science, 8(3\/4):385\u2013404, 1996.","journal-title":"Connection Science"},{"key":"8_CR17","series-title":"Lect Notes Comput Sci","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/3-540-48219-9_2","volume-title":"Proc. Second International Workshop on Multiple Classifier Systems","author":"J. Wickramaratna","year":"2001","unstructured":"J. Wickramaratna, S. Holden, and B. Buxton. Performance degradation in boosting. In J. Kittler and F. Roli, editors, Proc. Second International Workshop on Multiple Classifier Systems, volume 2096 of Lecture Notes in Computer Science, pages 11\u201321, Cambridge, UK, 2001. Springer-Verlag."},{"key":"8_CR18","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1098\/rsta.1900.0019","volume":"194","author":"G.U. Yule","year":"1900","unstructured":"G.U. Yule. On the association of attributes in statistics. Phil. Trans., A, 194:257\u2013319, 1900.","journal-title":"Phil. Trans., A"}],"container-title":["Lecture Notes in Computer Science","Multiple Classifier Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-45428-4_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T13:31:25Z","timestamp":1737034285000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-45428-4_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002]]},"ISBN":["9783540438182","9783540454281"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/3-540-45428-4_8","relation":{},"ISSN":["0302-9743"],"issn-type":[{"value":"0302-9743","type":"print"}],"subject":[],"published":{"date-parts":[[2002]]}}}