{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T20:18:34Z","timestamp":1769199514834,"version":"3.49.0"},"publisher-location":"Berlin, Heidelberg","reference-count":7,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540240594","type":"print"},{"value":"9783540305491","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004]]},"DOI":"10.1007\/978-3-540-30549-1_123","type":"book-chapter","created":{"date-parts":[[2011,1,16]],"date-time":"2011-01-16T19:26:55Z","timestamp":1295206015000},"page":"1200-1205","source":"Crossref","is-referenced-by-count":7,"title":["A Parallel Learning Approach for Neural Network Ensemble"],"prefix":"10.1007","author":[{"given":"Zheng-Qun","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shi-Fu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhao-Qian","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun-Yuan","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"123_CR1","unstructured":"Solice, P., Krogh, A.: Learning with ensembles: How over-Fiting can be useful. In: Touretzky, D., Mozer, M., Hasselmo, M. (eds.) Advances in neural information processing systems, vol.\u00a07, pp. 231\u2013238 (1995)"},{"issue":"2","key":"123_CR2","first-page":"197","volume":"5","author":"R.E. Schapire","year":"1990","unstructured":"Schapire, R.E.: The Strength of weak learnability. Machine Learning\u00a05(2), 197\u2013227 (1990)","journal-title":"Machine Learning"},{"issue":"2","key":"123_CR3","first-page":"123","volume":"24","author":"L. Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Machine Learning\u00a024(2), 123\u2013140 (1996)","journal-title":"Machine Learning"},{"key":"123_CR4","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/s100440200014","volume":"5","author":"M. Jang","year":"2002","unstructured":"Jang, M., Cho, S.: Observational learning algorithm for an ensemble of neural networks. Pattern Analysis & Applications\u00a05, 154\u2013167 (2002)","journal-title":"Pattern Analysis & Applications"},{"issue":"1-2","key":"123_CR5","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1016\/S0004-3702(02)00190-X","volume":"17","author":"Z.H. Zhou","year":"2002","unstructured":"Zhou, Z.H., Wu, J.X., Tang, W.: Ensembling neural networks: many could be better than all. Artificial Intelligence\u00a017(1-2), 239\u2013263 (2002)","journal-title":"Artificial Intelligence"},{"key":"123_CR6","unstructured":"Rideway, G., Madigan, D., Richardson, T.: Boosting methodology for regression problems. In: Proc. 7th Int. workshop on Artificial Intelligence and Statistics, Fort Lauderdale, FL, pp. 152\u2013161 (1999)"},{"key":"123_CR7","unstructured":"Hansen, J.H.: Combining predictors: meta machine learning methods and bias\/variance and ambiguity decompositions, Ph. D dissertation, Department of Computer Science, University of Aarhus, Denmark (June 2000)"}],"container-title":["Lecture Notes in Computer Science","AI 2004: Advances in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-30549-1_123.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,3]],"date-time":"2021-05-03T03:28:59Z","timestamp":1620012539000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-30549-1_123"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004]]},"ISBN":["9783540240594","9783540305491"],"references-count":7,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-30549-1_123","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2004]]}}}