{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T13:52:36Z","timestamp":1725544356354},"publisher-location":"Berlin, Heidelberg","reference-count":34,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540334279"},{"type":"electronic","value":"9783540334286"}],"license":[{"start":{"date-parts":[[2006,1,1]],"date-time":"2006-01-01T00:00:00Z","timestamp":1136073600000},"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":[[2006]]},"DOI":"10.1007\/11736790_4","type":"book-chapter","created":{"date-parts":[[2006,4,6]],"date-time":"2006-04-06T15:10:48Z","timestamp":1144336248000},"page":"41-55","source":"Crossref","is-referenced-by-count":7,"title":["Many Are Better Than One: Improving Probabilistic Estimates from Decision Trees"],"prefix":"10.1007","author":[{"given":"Nitesh V.","family":"Chawla","sequence":"first","affiliation":[]}],"member":"297","reference":[{"key":"4_CR1","volume-title":"Classification and Regression Trees","author":"L. Breiman","year":"1984","unstructured":"Breiman, L., Friedman, J.H., Olshen, R.A., Stone, P.J.: Classification and Regression Trees. Wadsworth International Group, Belmont (1984)"},{"key":"4_CR2","doi-asserted-by":"crossref","unstructured":"Bauer, E., Kohavi, R.: An empirical comparison of voting classification algorithms: Bagging, boosting and variants. Machine Learning\u00a036(1,2) (1999)","DOI":"10.1023\/A:1007515423169"},{"key":"4_CR3","unstructured":"Blake, C.L., Merz, C.J.: UCI Repository of Machine Learning Databases. epartment of Information and Computer Sciences, University of California, Irvine (1998), http:\/\/www.ics.uci.edu\/~mlearn\/~MLRepository.html"},{"issue":"6","key":"4_CR4","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.1016\/S0031-3203(96)00142-2","volume":"30","author":"A.P. Bradley","year":"1997","unstructured":"Bradley, A.P.: The Use of the Area Under the ROC Curve in the Evaluation of Machine Learning Algorithms. Pattern Recognition\u00a030(6), 1145\u20131159 (1997)","journal-title":"Pattern Recognition"},{"issue":"2","key":"4_CR5","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":"4_CR6","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"N.V. Chawla","year":"2002","unstructured":"Chawla, N.V., Hall, L.O., Bowyer, K.W., Kegelmeyer, W.P.: SMOTE: Synthetic Minority Oversampling TEchnique. Journal of Artificial Intelligence Research\u00a016, 321\u2013357 (2002)","journal-title":"Journal of Artificial Intelligence Research"},{"key":"4_CR7","unstructured":"Cohen, W.: Learning to Classify English Text with ILP Methods. In: Proceedings of the 5th International Workshop on Inductive Logic Programming, pp. 3\u201324. Department of Computer Science, Katholieke Universiteit Leuven (1995)"},{"key":"4_CR8","series-title":"Lecture Notes in Computer Science","volume-title":"Machine Learning: ECML-93","author":"J. Cussents","year":"1993","unstructured":"Cussents, J.: Bayes and pseudo-bayes estimates of conditional probabilities and their reliabilities. In: Brazdil, P.B. (ed.) ECML 1993. LNCS, vol.\u00a0667. Springer, Heidelberg (1993)"},{"key":"4_CR9","doi-asserted-by":"crossref","unstructured":"Draper, B., Baek, K.: Bagging in computer vision. In: IEEE International Conference on Computer Vision and Pattern Recognition, pp. 144\u2013149 (1998)","DOI":"10.1109\/CVPR.1998.698601"},{"issue":"2","key":"4_CR10","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1023\/A:1007607513941","volume":"40","author":"T. Dietterich","year":"2000","unstructured":"Dietterich, T.: An empirical comparison of three methods for constructing ensembles of decision trees: bagging, boosting and randomization. Machine Learning\u00a040(2), 139\u2013157 (2000)","journal-title":"Machine Learning"},{"key":"4_CR11","unstructured":"Domingos, P.: Why does bagging work? a bayesian account and its implications. In: Proceedings of Third International Conference Knowledge Discovery and Data Mining, pp. 155\u2013158 (1997)"},{"key":"4_CR12","doi-asserted-by":"crossref","unstructured":"Dumais, S., Platt, J., Heckerman, D., Sahami, M.: Inductive Learning Algorithms and Representations for Text Categorization. In: Proceedings of the Seventh International Conference on Information and Knowledge Management, pp. 148\u2013155 (1998)","DOI":"10.1145\/288627.288651"},{"key":"4_CR13","first-page":"139","volume-title":"Proceedings of the International Conference on Machine Learning, ICML 1996","author":"J.K. Ezawa","year":"1996","unstructured":"Ezawa, J.K., Singh, M., Norton, W.S.: Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management. In: Proceedings of the International Conference on Machine Learning, ICML 1996, Bari, Italy, pp. 139\u2013147. Morgan Kauffman, San Francisco (1996)"},{"key":"4_CR14","unstructured":"Fayyad, U., Kohavi, R.: Multi-interval discretization of continuous valued attributes for classification learning. In: Proceedings of 13th International Joint Conference on Artificial Intelligence, pp. 1022\u20131027 (1993)"},{"key":"4_CR15","first-page":"8","volume-title":"Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, Portland, OR","author":"T. Fawcett","year":"1996","unstructured":"Fawcett, T., Provost, F.: Combining Data Mining and Machine Learning for Effective User Profile. In: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, Portland, OR, pp. 8\u201313. AAAI, Menlo Park (1996)"},{"key":"4_CR16","doi-asserted-by":"publisher","first-page":"12","DOI":"10.2307\/2987588","volume":"32","author":"M. Groot De","year":"1983","unstructured":"De Groot, M., Fienberg, S.: The Comparison and Evaluation of Forecasters. Statistician\u00a032, 12\u201322 (1983)","journal-title":"Statistician"},{"issue":"8","key":"4_CR17","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1109\/34.709601","volume":"20","author":"T.K. Ho","year":"1998","unstructured":"Ho, T.K.: The random subspace method for constructing decision trees. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a020(8), 832\u2013844 (1998)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"4_CR18","doi-asserted-by":"crossref","unstructured":"Japkowicz, N., Stephen, S.: The class imbalance problem: A systematic study. Intelligent Data Analysis\u00a06(5) (2002)","DOI":"10.3233\/IDA-2002-6504"},{"key":"4_CR19","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1023\/A:1007452223027","volume":"30","author":"M. Kubat","year":"1998","unstructured":"Kubat, M., Holte, R., Matwin, S.: Machine Learning for the Detection of Oil Spills in Satellite Radar Images. Machine Learning\u00a030, 195\u2013215 (1998)","journal-title":"Machine Learning"},{"key":"4_CR20","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1023\/A:1022859003006","volume":"51","author":"L. Kuncheva","year":"2003","unstructured":"Kuncheva, L., Whitaker, C.: Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Machine Learning\u00a051, 181\u2013207 (2003)","journal-title":"Machine Learning"},{"key":"4_CR21","unstructured":"Lewis, D., Ringuette, M.: A Comparison of Two Learning Algorithms for Text Categorization. In: Proceedings of SDAIR 1994, 3rd Annual Symposium on Document Analysis and Information Retrieval, pp. 81\u201393 (1994)"},{"key":"4_CR22","first-page":"258","volume-title":"Proceedings of the 16th International Conference on Machine Learning","author":"D. Mladeni\u0107","year":"1999","unstructured":"Mladeni\u0107, D., Grobelnik, M.: Feature Selection for Unbalanced Class Distribution and Naive Bayes. In: Proceedings of the 16th International Conference on Machine Learning, pp. 258\u2013267. Morgan Kaufmann, San Francisco (1999)"},{"key":"4_CR23","unstructured":"Minsky, M.: Logical versus analogical, symbolic versus connectionist, neat versus scruffy. AI Magazine\u00a012 (1991)"},{"key":"4_CR24","doi-asserted-by":"crossref","unstructured":"Provost, F., Domingos, P.: Tree induction for probability-based rankings. Machine Learning\u00a052(3) (2003)","DOI":"10.1023\/A:1024099825458"},{"key":"4_CR25","first-page":"445","volume-title":"Proceedings of the Fifteenth International Conference on Machine Learning, Madison, WI","author":"F. Provost","year":"1998","unstructured":"Provost, F., Fawcett, T., Kohavi, R.: The Case Against Accuracy Estimation for Comparing Induction Algorithms. In: Proceedings of the Fifteenth International Conference on Machine Learning, Madison, WI, pp. 445\u2013453. Morgan Kauffmann, San Francisco (1998)"},{"key":"4_CR26","doi-asserted-by":"crossref","unstructured":"Pazzani, M., Merz, C., Murphy, P., Ali, K., Hume, T., Brunk, C.: Reducing misclassification costs. In: Proceedings of the Eleventh International Conference on Machine Learning, pp. 217\u2013215 (1994)","DOI":"10.1016\/B978-1-55860-335-6.50034-9"},{"key":"4_CR27","doi-asserted-by":"crossref","unstructured":"Qui\u00f1onero-Candela, J.: Evaluating Predictive Uncertainty Challenge (2005), http:\/\/www.predict.kyb.tuebingen.mpg.de","DOI":"10.1007\/11736790_1"},{"key":"4_CR28","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1016\/S0020-7373(87)80053-6","volume":"27","author":"J.R. Quinlan","year":"1987","unstructured":"Quinlan, J.R.: Simplifying decision trees. International Journal of Man Machine Studies\u00a027, 227\u2013248 (1987)","journal-title":"International Journal of Man Machine Studies"},{"key":"4_CR29","volume-title":"C4.5: Programs for Machine Learning","author":"J.R. Quinlan","year":"1992","unstructured":"Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo (1992)"},{"key":"4_CR30","unstructured":"Quinlan, J.R.: Bagging, boosting, and C4.5. In: Proceedings of the Thirteenth National Conference on Artificial Intelligence, pp. 725\u2013730 (1996)"},{"key":"4_CR31","unstructured":"Sylvester, J., Chawla, N.V.: Evolutionary ensembles: Combining learning agents using genetic algorithms. In: AAAI Workshop on Multiagent Learning, pp. 46\u201351 (2005)"},{"key":"4_CR32","doi-asserted-by":"crossref","unstructured":"Smyth, P., Gray, A., Fayyad, U.: Retrofitting decision tree classifiers using kernel density estimation. In: Proceedings of the Twelth International Conference on Machine Learning, pp. 506\u2013514 (1995)","DOI":"10.1016\/B978-1-55860-377-6.50069-4"},{"issue":"6","key":"4_CR33","doi-asserted-by":"publisher","first-page":"1417","DOI":"10.1142\/S0218001493000698","volume":"7","author":"K. Woods","year":"1993","unstructured":"Woods, K., Doss, C., Bowyer, K., Solka, J., Priebe, C., Kegelmeyer, P.: Comparative Evaluation of Pattern Recognition Techniques for Detection of Microcalcifications in Mammography. International Journal of Pattern Recognition and Artificial Intelligence\u00a07(6), 1417\u20131436 (1993)","journal-title":"International Journal of Pattern Recognition and Artificial Intelligence"},{"key":"4_CR34","doi-asserted-by":"crossref","unstructured":"Zadrozny, B., Elkan, C.: Learning and making decisions when costs and probabilities are both unknown. In: Proceedings of the Seventh International Conference on Knowledge Discovery and Data Mining (2001)","DOI":"10.1145\/502512.502540"}],"container-title":["Lecture Notes in Computer Science","Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11736790_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,17]],"date-time":"2019-04-17T21:05:17Z","timestamp":1555535117000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11736790_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540334279","9783540334286"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/11736790_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2006]]}}}