{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T18:29:57Z","timestamp":1725474597720},"publisher-location":"Berlin, Heidelberg","reference-count":28,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540652717"},{"type":"electronic","value":"9783540494614"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[1998]]},"DOI":"10.1007\/bfb0095254","type":"book-chapter","created":{"date-parts":[[2006,11,24]],"date-time":"2006-11-24T14:30:59Z","timestamp":1164378659000},"page":"12-23","source":"Crossref","is-referenced-by-count":1,"title":["Generating classifier committees by stochastically selecting both attributes and training examples"],"prefix":"10.1007","author":[{"given":"Zijan","family":"Zheng","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2006,10,20]]},"reference":[{"key":"2_CR1","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1006\/inco.1995.1136","volume":"121","author":"Y. Freund","year":"1996","unstructured":"Freund, Y.: Boosting a weak learning algorithm by majority. Information and Computation\n                121 (1996) 256\u2013285.","journal-title":"Information and Computation"},{"key":"2_CR2","unstructured":"Freund, Y. and Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to Boosting. Unpublished manuscript (1996a) (available at http:\/\/www.research.att.com\/~yoav)."},{"key":"2_CR3","series-title":"Proceedings of the Thirteenth International Conference on Machine Learning","first-page":"148","volume-title":"Experiments with a new Boosting algorithm","author":"Y. Freund","year":"1996","unstructured":"Freund, Y. and Schapire, R.E.: Experiments with a new Boosting algorithm. Proceedings of the Thirteenth International Conference on Machine Learning. San Francisco, CA: Morgan Kaufmann (1996b) 148\u2013156."},{"key":"2_CR4","series-title":"Proceedings of the Thirteenth National Conference on Artificial Intelligence","first-page":"725","volume-title":"Bagging Boosting, and C4.5","author":"J.R. Quinlan","year":"1996","unstructured":"Quinlan, J.R.: Bagging Boosting, and C4.5: Proceedings of the Thirteenth National Conference on Artificial Intelligence. Menlo Park, CA: AAAI Press (1996) 725\u2013730."},{"key":"2_CR5","first-page":"123","volume":"24","author":"L. Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Machine Learning\n                24 (1996a) 123\u2013140.","journal-title":"Machine Learning"},{"key":"2_CR6","volume-title":"Arcing classifiers. Technical Report","author":"L. Breiman","year":"1996","unstructured":"Breiman, L.: Arcing classifiers. Technical Report (available at: http:\/\/www.stat. Berkeley.EDU\/users\/breiman\/) Department of Statistics, University of California, Berkeley, CA (1996b)."},{"key":"2_CR7","series-title":"Technical Report","volume-title":"Machine learning bias, statistical bias, and statistical variance of decision tree algorithms","author":"T.G. Dietterich","year":"1995","unstructured":"Dietterich, T.G. and Kong, E.B.: Machine learning bias, statistical bias, and statistical variance of decision tree algorithms. Technical Report, Dept of Computer Science, Oregon State University, Corvallis, Oregon (1995) (available at ftp:\/\/ftp.cs.orst.edu\/pub\/tgd\/papers\/tr-bias.ps.gz)."},{"key":"2_CR8","volume-title":"Learning Probabilistic Relational Concept Descriptions","author":"K.M. Ali","year":"1996","unstructured":"Ali, K.M.: Learning Probabilistic Relational Concept Descriptions. PhD. Thesis, Dept of Info. and Computer Science, Univ. of California, Irvine (1996)."},{"key":"2_CR9","unstructured":"Chan, P., Stolfo, S., and Wolpert, D. (eds): Working Notes of AAAI Workshop on Integrating Multiple Learned Models for Improving and Scaling Machine Learning Algorithms (available at http:\/\/www.cs.fit.edu\/~imlm\/papers.html), Portland, Oregon (1996)."},{"key":"2_CR10","first-page":"173","volume":"24","author":"K.M. Ali","year":"1996","unstructured":"Ali, K.M. and Pazzani, M.J.: Error reduction through learning multiple descriptions. Machine Learning\n                24 (1996) 173\u2013202.","journal-title":"Machine Learning"},{"key":"2_CR11","unstructured":"Schapire, R.E., Freund, Y., Bartlett, P., and Lee, W.S.: Boosting the margin: A new explanation for the effectiveness of voting methods. Proceedings of the Fourteenth International Conference on Machine Learning. Morgan Kaufmann (1997) 322\u2013330."},{"key":"2_CR12","unstructured":"Bauer, E. and Kohavi, R.: An empirical comparison of voting classification algorithms: Bagging, Boosting, and variants. To appear in Machine Learning (1998) (available at: http:\/\/reality.sgi.com\/ronnyk\/vote.ps.gz)."},{"key":"2_CR13","first-page":"197","volume":"5","author":"R.E. Schapire","year":"1990","unstructured":"Schapire, R.E.: The strength of weak learnability. Machine Learning\n                5 (1990) 197\u2013227.","journal-title":"Machine Learning"},{"key":"2_CR14","doi-asserted-by":"crossref","unstructured":"Kwok, S.W. and Carter, C.: Multiple decision trees. Schachter, R.D., Levitt, T.S., Kanal, L.N., and Lemmer, J.F. (eds) Uncertainty in Artificial intelligence. Elsevier Science (1990) 327\u2013335.","DOI":"10.1016\/B978-0-444-88650-7.50030-5"},{"key":"2_CR15","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1613\/jair.105","volume":"2","author":"T.G. Dietterich","year":"1995","unstructured":"Dietterich, T.G. and Bakiri, G.: Solving multiclass learning problems via error-correcting output codes. Journal of Artificial Intelligence Research\n                2, 1995) 263\u2013286.","journal-title":"Journal of Artificial Intelligence Research"},{"key":"2_CR16","series-title":"Technical Report (TR C98\/08)","volume-title":"Stochastic attribute selection committees","author":"Z. Zheng","year":"1998","unstructured":"Zheng, Z. and Webb, G.I.: Stochastic attribute selection committees. Technical Report (TR C98\/08), School of Computing and Mathematics, Deakin University, Australia (1998) (available at http:\/\/www3.cm.deakin.edu.au\/~zijian\/Papers\/sasc-tr-C98-08.ps.gz)."},{"key":"2_CR17","volume-title":"A Theory of Learning Classification Rules","author":"W. Buntine","year":"1990","unstructured":"Buntine, W.: A Theory of Learning Classification Rules. PhD. Thesis, School of Computing Science, University of Technology, Sydney (1990)."},{"key":"2_CR18","series-title":"Proceedings of the Fourteenth International Conference on Machine Learning","first-page":"161","volume-title":"Option decision trees with majority votes","author":"R. Kohavi","year":"1997","unstructured":"Kohavi, R. and Kunz, C.: Option decision trees with majority votes. Proceedings of the Fourteenth International Conference on Machine Learning. San Francisco, CA: Morgan Kaufmann (1997) 161\u2013169."},{"key":"2_CR19","unstructured":"Cherkauer, K.J.: Human expert-level performance on a science image analysis task by a system using combined artificial neural networks. Chan, P., Stolfo, S., and Wolpert, D. (eds) Working Notes of AAAI Workshop on Integrating Multiple Learned Models for Improving and Scaling Machine Learning Algorithms (available at http:\/\/www.cs.fit.edu\/~imlm\/papers.html), Portland, Oregon (1996) 15\u201321."},{"key":"2_CR20","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1080\/095400996116839","volume":"8","author":"K. Tumer","year":"1996","unstructured":"Tumer, K. and Ghosh, J.: Error correction and error reduction in ensemble classifiers. Connection Science\n                8 (1996) 385\u2013404.","journal-title":"Connection Science"},{"key":"2_CR21","series-title":"Proceedings of the Tenth European Conference on Machine Learning","first-page":"196","volume-title":"Naive Bayesian classifier committees","author":"Z. Zheng","year":"1998","unstructured":"Zheng, Z.: Naive Bayesian classifier committees. Proceedings of the Tenth European Conference on Machine Learning. Berlin: Springet-Verlag (1998) 196\u2013207."},{"key":"2_CR22","series-title":"Proccedings, of the Fifteenth International Joint Conference on Artificial Intelligence","first-page":"860","volume-title":"Ensembles as a sequence of classifiers","author":"L. Asker","year":"1997","unstructured":"Asker, L. and Maclin, R.: Ensembles as a sequence of classifiers. Proccedings, of the Fifteenth International Joint Conference on Artificial Intelligence. San Francisco, CA: Morgan Kaufmann (1997) 860\u2013865."},{"key":"2_CR23","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\n                5 (1992) 241\u2013259.","journal-title":"Neural Networks"},{"key":"2_CR24","doi-asserted-by":"publisher","first-page":"1049","DOI":"10.1016\/0022-2836(92)90104-R","volume":"225","author":"X. Zhang","year":"1992","unstructured":"Zhang, X., Mesirrov, J.P. and Waltz, D.L.: Hybrid system for protein secondary structure prediction. Journal of Molecular Biology\n                225 (1992) 1049\u20131063.","journal-title":"Journal of Molecular Biology"},{"key":"2_CR25","first-page":"97","volume":"18","author":"T.G. Dietterich","year":"1997","unstructured":"Dietterich, T.G.: Machine learning research. AI Magazine\n                18 (1997) 97\u2013136.","journal-title":"AI Magazine"},{"key":"2_CR26","volume-title":"C4.5: Program for Machine Learning","author":"J.R. Quinlan","year":"1993","unstructured":"Quinlan, J.R.: C4.5: Program for Machine Learning. San Mateo, CA: Morgan Kaufmann (1993)."},{"key":"2_CR27","volume-title":"UCI Repository of machine learning databases","author":"C.J. Merz","year":"1997","unstructured":"Merz, C.J. and Murphy, P.M.: UCI Repository of machine learning databases [http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html]. Irvine, CA: Univ of California, Dept. of Info and Computer Science (1997)."},{"key":"2_CR28","series-title":"Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence","first-page":"1137","volume-title":"A study of cross-validation and bootstrap for accuracy estimation and model selection","author":"R. Kohavi","year":"1995","unstructured":"Kohavi, R.: A study of cross-validation and bootstrap for accuracy estimation and model selection. Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. San Mateo, CA: Morgan Kaufmann (1995) 1137\u20131143."}],"container-title":["Lecture Notes in Computer Science","PRICAI\u201998: Topics in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/BFb0095254","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,2,15]],"date-time":"2019-02-15T02:32:32Z","timestamp":1550197952000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/BFb0095254"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1998]]},"ISBN":["9783540652717","9783540494614"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/bfb0095254","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[1998]]}}}