{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T22:50:09Z","timestamp":1725490209255},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540748243"},{"type":"electronic","value":"9783540748250"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-74825-0_12","type":"book-chapter","created":{"date-parts":[[2007,8,21]],"date-time":"2007-08-21T05:42:26Z","timestamp":1187674946000},"page":"130-139","source":"Crossref","is-referenced-by-count":4,"title":["Two Bagging Algorithms with Coupled Learners to Encourage Diversity"],"prefix":"10.1007","author":[{"given":"Carlos","family":"Valle","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ricardo","family":"\u00d1anculef","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"H\u00e9ctor","family":"Allende","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claudio","family":"Moraga","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"12_CR1","unstructured":"Blake, C.L., Merz, C.J.: UCI repository of machine learning databases (1998)"},{"issue":"2","key":"12_CR2","first-page":"123","volume":"26","author":"L. Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Machine Learning\u00a026(2), 123\u2013140 (1996)","journal-title":"Machine Learning"},{"key":"12_CR3","unstructured":"Breiman, L.: Out-of-bag estimation. Technical report, Statistics Department, University of California (1997)"},{"issue":"3","key":"12_CR4","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1023\/A:1017934522171","volume":"45","author":"L. Breiman","year":"2001","unstructured":"Breiman, L.: Using iterated bagging to debias regressions. Machine Learning\u00a045(3), 261\u2013277 (2001)","journal-title":"Machine Learning"},{"key":"12_CR5","unstructured":"Brown, G.: Diversity in Neural Network Ensembles. PhD thesis, School of Computer Science, University of Birmingham (2003)"},{"key":"12_CR6","first-page":"155","volume-title":"Advances in Neural Information Processing Systems","author":"H. Drucker","year":"1997","unstructured":"Drucker, H., Burges, C.J.C., Kaufman, L., Smola, A., Vapnik, V.: Support vector regression machines. In: Advances in Neural Information Processing Systems, vol.\u00a09, p. 155. The MIT Press, Cambridge (1997)"},{"key":"12_CR7","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4899-4541-9","volume-title":"An Introduction to the Bootstrap","author":"B. Efron","year":"1993","unstructured":"Efron, B., Tibshirani, R.: An Introduction to the Bootstrap. Chapman & Hall, Sydney (1993)"},{"key":"12_CR8","first-page":"55","volume":"6","author":"A. Elisseeff","year":"2005","unstructured":"Elisseeff, A., Evgeniou, T., Pontil, M.: Stability of randomized learning algorithms. J. Machine Learning Research\u00a06, 55\u201379 (2005)","journal-title":"J. Machine Learning Research"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Friedman, J.: Greedy function approximation: A gradient boosting machine. Annals of Statistics\u00a029(5) (2001)","DOI":"10.1214\/aos\/1013203451"},{"issue":"4","key":"12_CR10","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1016\/S0167-9473(01)00065-2","volume":"38","author":"J. Friedman","year":"2002","unstructured":"Friedman, J.: Stochastic gradient boosting. Computational Statistics and Data Analysis\u00a038(4), 367\u2013378 (2002)","journal-title":"Computational Statistics and Data Analysis"},{"key":"12_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1007\/3-540-44668-0_8","volume-title":"Artificial Neural Networks - ICANN 2001","author":"Y. Grandvalet","year":"2001","unstructured":"Grandvalet, Y.: Bagging can stabilize without reducing variance. In: Dorffner, G., Bischof, H., Hornik, K. (eds.) ICANN 2001. LNCS, vol.\u00a02130, pp. 49\u201356. Springer, Heidelberg (2001)"},{"issue":"3","key":"12_CR12","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1023\/B:MACH.0000027783.34431.42","volume":"55","author":"Y. Grandvalet","year":"2004","unstructured":"Grandvalet, Y.: Bagging equalizes influence. Machine Learning\u00a055(3), 251\u2013270 (2004)","journal-title":"Machine Learning"},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"Poggio, T., Rifkin, R., Mukherjee, S.: Bagging regularizes. Technical Report 214\/AI Memo 2002-003, MIT CBCL (2002)","DOI":"10.21236\/ADA459843"},{"key":"12_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1007\/11840817_28","volume-title":"Artificial Neural Networks \u2013 ICANN 2006","author":"R. \u00d1anculef","year":"2006","unstructured":"\u00d1anculef, R., Valle, C., Allende, H., Moraga, C.: Ensemble learning with local diversity. In: Kollias, S., Stafylopatis, A., Duch, W., Oja, E. (eds.) ICANN 2006. LNCS, vol.\u00a04131, pp. 264\u2013273. Springer, Heidelberg (2006)"},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Suen, Y., Melville, P., Mooney, R.: Combining bias and variance reduction techniques for regression. In: Proceedings of the 16th European Conference on Machine Learning, pp. 741\u2013749 (2005)","DOI":"10.1007\/11564096_76"},{"key":"12_CR16","unstructured":"Vlachos, P.: StatLib datasets archive (2005)"},{"issue":"10","key":"12_CR17","doi-asserted-by":"publisher","first-page":"1399","DOI":"10.1016\/S0893-6080(99)00073-8","volume":"12","author":"X. Yao","year":"1999","unstructured":"Yao, X., Lui, Y.: Ensemble learning via negative correlation. Neural Networks\u00a012(10), 1399\u20131404 (1999)","journal-title":"Neural Networks"}],"container-title":["Lecture Notes in Computer Science","Advances in Intelligent Data Analysis VII"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-74825-0_12.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T06:41:05Z","timestamp":1619505665000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-74825-0_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540748243","9783540748250"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-74825-0_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[]}}