{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T22:47:08Z","timestamp":1743115628679,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319598758"},{"type":"electronic","value":"9783319598765"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-59876-5_45","type":"book-chapter","created":{"date-parts":[[2017,6,1]],"date-time":"2017-06-01T01:09:35Z","timestamp":1496279375000},"page":"408-415","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Classification Boosting by Data Decomposition Using Consensus-Based Combination of Classifiers"],"prefix":"10.1007","author":[{"given":"Vitaliy","family":"Tayanov","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adam","family":"Krzy\u017cak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ching","family":"Suen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,6,2]]},"reference":[{"issue":"2","key":"45_CR1","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/BF00058655","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Mach. Learn. 24(2), 123\u2013140 (1996)","journal-title":"Mach. Learn."},{"issue":"1","key":"45_CR2","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"key":"45_CR3","unstructured":"Frank, A., Asuncion, A.: UCI repository of machine learning databases. Technical report. University of California, School of Information and Computer Sciences Irvine, CA (2010)"},{"key":"45_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/3-540-59119-2_166","volume-title":"Computational Learning Theory","author":"Y Freund","year":"1995","unstructured":"Freund, Y., Schapire, R.E.: A desicion-theoretic generalization of on-line learning and an application to boosting. In: Vit\u00e1nyi, P. (ed.) EuroCOLT 1995. LNCS, vol. 904, pp. 23\u201337. Springer, Heidelberg (1995). doi:10.1007\/3-540-59119-2_166"},{"issue":"8","key":"45_CR5","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1109\/34.709601","volume":"20","author":"TK Ho","year":"1998","unstructured":"Ho, T.K.: The random subspace method for constructing decision forests. IEEE Trans. Pattern Anal. Mach. Intell. 20(8), 832\u2013844 (1998)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"45_CR6","doi-asserted-by":"publisher","DOI":"10.1002\/9781118914564","volume-title":"Combining Pattern Classifiers","author":"L Kuncheva","year":"2014","unstructured":"Kuncheva, L.: Combining Pattern Classifiers. Wiley, Hoboken (2014)"},{"key":"45_CR7","volume-title":"Machine Learning: A Probabilistic Perspective","author":"KP Murphy","year":"2012","unstructured":"Murphy, K.P.: Machine Learning: A Probabilistic Perspective. MIT press, Cambridge (2012)"},{"issue":"10","key":"45_CR8","doi-asserted-by":"publisher","first-page":"1619","DOI":"10.1109\/TPAMI.2006.211","volume":"28","author":"JJ Rodriguez","year":"2006","unstructured":"Rodriguez, J.J., Kuncheva, L.I., Alonso, C.J.: Rotation forest: a new classifier ensemble method. IEEE Trans. Pattern Anal. Mach. Intell. 28(10), 1619\u20131630 (2006)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"45_CR9","doi-asserted-by":"publisher","DOI":"10.1142\/7238","volume-title":"Pattern Classification Using Ensemble Methods","author":"L Rokach","year":"2009","unstructured":"Rokach, L.: Pattern Classification Using Ensemble Methods. World Scientific, Hackensack (2009)"},{"issue":"3","key":"45_CR10","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1134\/S1054661809030055","volume":"19","author":"KV Vorontsov","year":"2009","unstructured":"Vorontsov, K.V.: Splitting and similarity phenomena in the sets of classifiers and their effect on the probability of overfitting. Pattern Recogn. Image Anal. 19(3), 412\u2013420 (2009)","journal-title":"Pattern Recogn. Image Anal."}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-59876-5_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,16]],"date-time":"2024-05-16T12:07:49Z","timestamp":1715861269000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-59876-5_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319598758","9783319598765"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-59876-5_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"2 June 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Montreal, QC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 July 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 July 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciar2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.aimiconf.org\/iciar17\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}