{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T14:09:51Z","timestamp":1777644591352,"version":"3.51.4"},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642175367","type":"print"},{"value":"9783642175374","type":"electronic"}],"license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-17537-4_70","type":"book-chapter","created":{"date-parts":[[2010,11,12]],"date-time":"2010-11-12T08:21:50Z","timestamp":1289550110000},"page":"575-584","source":"Crossref","is-referenced-by-count":8,"title":["Reranking for Stacking Ensemble Learning"],"prefix":"10.1007","author":[{"given":"Buzhou","family":"Tang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingcai","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaolong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"2","key":"70_CR1","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/S0893-6080(05)80023-1","volume":"5","author":"D.H. Wolpert","year":"1992","unstructured":"Wolpert, D.H.: Stacked generalization. Neural Networks\u00a05(2), 241\u2013260 (1992)","journal-title":"Neural Networks"},{"key":"70_CR2","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1023\/A:1007559205422","volume":"36","author":"C.J. Merz","year":"1999","unstructured":"Merz, C.J.: Using correspondence analysis to combine classifiers. Machine Learnig\u00a036, 33\u201358 (1999)","journal-title":"Machine Learnig"},{"key":"70_CR3","doi-asserted-by":"crossref","unstructured":"Ting, K.M., Witten, I.H.: Issues in Stacked Generalization. Journal of Artificial Intelligence Research\u00a010, 271\u2013289","DOI":"10.1613\/jair.594"},{"key":"70_CR4","doi-asserted-by":"crossref","unstructured":"Todorovski, L., D\u017eeroski, S.: Combining multiple models with meta decision trees. In: Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery, pp. 54\u201364 (2000)","DOI":"10.1007\/3-540-45372-5_6"},{"key":"70_CR5","first-page":"221","volume-title":"Advances in Intelligent Data Analysis. Fourth International Symposium on Intelligent Data Analysis (IDA)","author":"A. Seewald","year":"2001","unstructured":"Seewald, A., F\u00fcrnkranz, J.: An evaluation of grading classifiers. In: Advances in Intelligent Data Analysis. Fourth International Symposium on Intelligent Data Analysis (IDA), pp. 221\u2013232. Springer, Berlin (2001)"},{"key":"70_CR6","volume-title":"Proceedings of the Nineteenth International Conference on Machine Learning (ICML 2002)","author":"A. Seewald","year":"2002","unstructured":"Seewald, A.: How to make stacking better and faster while also taking care of an unknown weakness. In: Claude Sammut, A.G.H. (ed.) Proceedings of the Nineteenth International Conference on Machine Learning (ICML 2002), Sidney, Australia, Morgan Kaufmann, San Francisco (July 2002)"},{"issue":"3","key":"70_CR7","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1023\/B:MACH.0000015881.36452.6e","volume":"54","author":"S. D\u017eeroski","year":"2004","unstructured":"D\u017eeroski, S., \u017denko, B.: Is combining classifier better than selecting the best one? Machine Learning\u00a054(3), 255\u2013273 (2004)","journal-title":"Machine Learning"},{"key":"70_CR8","unstructured":"Sill, J., Takacs, G., Mackey, L., Lin, D.: Feature-Weighted Linear Stacking, arXiv:0911.0460 (2009)"},{"key":"70_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1007\/978-3-642-02326-2_12","volume-title":"Multiple Classifier Systems","author":"S. Reid","year":"2009","unstructured":"Reid, S., Grudic, G.: Regularized Linear Models in Stacked Generalization. In: Benediktsson, J.A., Kittler, J., Roli, F. (eds.) MCS 2009. LNCS, vol.\u00a05519, pp. 112\u2013121. Springer, Heidelberg (2009)"},{"issue":"1","key":"70_CR10","doi-asserted-by":"crossref","first-page":"89","DOI":"10.3233\/IDA-2010-0410","volume":"14","author":"A. Ledezma","year":"2010","unstructured":"Ledezma, A., Aler, R., Sanchis, A., Borrajo, D.: GA-stacking: Evolutionary stacked generalization. Intelligent Data Analysis\u00a014(1), 89\u2013119 (2010)","journal-title":"Intelligent Data Analysis"},{"issue":"1","key":"70_CR11","doi-asserted-by":"publisher","first-page":"191","DOI":"10.2307\/2347628","volume":"41","author":"S. Cessie le","year":"1992","unstructured":"le Cessie, S., van Houwelingen, J.C.: Ridge Estimators in Logistic Regression. Applied Statistics\u00a041(1), 191\u2013201 (1992)","journal-title":"Applied Statistics"},{"key":"70_CR12","unstructured":"EL-Manzalawy, Y., Honavar, V.: WLSVM: Integrating LibSVM into Weka Environment (2005) Software, \n                    \n                      http:\/\/www.cs.iastate.edu\/~yasser\/wlsvm"},{"key":"70_CR13","volume-title":"C4.5: Programs for Machine Learning","author":"R. Quinlan","year":"1993","unstructured":"Quinlan, R.: C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo (1993)"},{"key":"70_CR14","unstructured":"John, G.H., Langley, P.: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, pp. 338\u2013345 (1995)"},{"key":"70_CR15","doi-asserted-by":"crossref","unstructured":"Joachims, T.: Training Linear SVMs in Linear Time. In: Proceedings of the ACM Conference on Knowledge Discovery and Data Mining (KDD), pp. 217\u2013226 (2006)","DOI":"10.1145\/1150402.1150429"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing. Theory and Algorithms"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-17537-4_70","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,22]],"date-time":"2019-03-22T04:15:30Z","timestamp":1553228130000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-17537-4_70"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642175367","9783642175374"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-17537-4_70","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010]]}}}