{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T14:21:53Z","timestamp":1726410113785},"publisher-location":"Berlin, Heidelberg","reference-count":30,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642302169"},{"type":"electronic","value":"9783642302176"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-30217-6_23","type":"book-chapter","created":{"date-parts":[[2012,5,9]],"date-time":"2012-05-09T10:14:58Z","timestamp":1336558498000},"page":"266-281","source":"Crossref","is-referenced-by-count":0,"title":["Generating Balanced Classifier-Independent Training Samples from Unlabeled Data"],"prefix":"10.1007","author":[{"given":"Youngja","family":"Park","sequence":"first","affiliation":[]},{"given":"Zijie","family":"Qi","sequence":"additional","affiliation":[]},{"given":"Suresh N.","family":"Chari","sequence":"additional","affiliation":[]},{"given":"Ian M.","family":"Molloy","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"23_CR1","doi-asserted-by":"crossref","unstructured":"Jo, T., Japkowicz, N.: Class imbalances versus small disjuncts. SIGKDD Explorations\u00a06(1) (2004)","DOI":"10.1145\/1007730.1007737"},{"key":"23_CR2","unstructured":"Weiss, G., Provost, F.: The effect of class distribution on classifier learning: An empirical study. Dept. of Comp. Science, Rutgers University, Tech. Rep. ML-TR-43 (2001)"},{"key":"23_CR3","doi-asserted-by":"crossref","unstructured":"Zadrozny, B.: Learning and evaluating classifiers under sample selection bias. In: ICML (2004)","DOI":"10.1145\/1015330.1015425"},{"key":"23_CR4","doi-asserted-by":"crossref","unstructured":"Dasgupta, S., Hsu, D.: Hierarchical sampling for active learning. In: ICML (2008)","DOI":"10.1145\/1390156.1390183"},{"key":"23_CR5","doi-asserted-by":"crossref","unstructured":"Ertekin, S., Huang, J., Bottou, L., Giles, C.L.: Learning on the border: active learning in imbalanced data classification. In: CIKM (2007)","DOI":"10.1145\/1321440.1321461"},{"key":"23_CR6","unstructured":"Settles, B.: Active learning literature survey. University of Wisconsin-Madison, Tech. Rep. (2009)"},{"key":"23_CR7","unstructured":"Bar-Hillel, A., Hertz, T., Shental, N., Weinshall, D.: Learning a mahalanobis metric from equivalence constraints. Journal of Machine Learning Research\u00a06 (2005)"},{"key":"23_CR8","unstructured":"Wagstaff, K., Cardie, C.: Clustering with instance-level constraints. In: ICML (2000)"},{"key":"23_CR9","unstructured":"Xing, E.P., Ng, A.Y., Jordan, M.I., Russell, S.: Distance metric learning, with application to clustering with side-information. In: Advances in Neural Info. Proc. Systems, vol. 15. MIT Press (2003)"},{"key":"23_CR10","unstructured":"Provos, N., Mavrommatis, P., Rajab, M., Monrose, F.: All your iFRAMEs point to us. Google, Tech. Rep. (2008)"},{"key":"23_CR11","unstructured":"Frank, A., Asuncion, A.: UCI machine learning repository"},{"key":"23_CR12","unstructured":"Campbell, C., Cristianini, N., Smola, A.J.: Query learning with large margin classifiers. In: ICML (2000)"},{"key":"23_CR13","doi-asserted-by":"crossref","unstructured":"Freund, Y., Seung, H.S., Shamir, E., Tishby, N.: Selective sampling using the query by committee algorithm. Machine Learning\u00a028(2-3) (1997)","DOI":"10.1023\/A:1007330508534"},{"key":"23_CR14","unstructured":"Tong, S., Koller, D.: Support vector machine active learning with application sto text classification. In: ICML (2000)"},{"key":"23_CR15","doi-asserted-by":"crossref","unstructured":"Lewis, D.D., Gale, W.A.: A sequential algorithm for training text classifiers. In: SIGIR (1994)","DOI":"10.1007\/978-1-4471-2099-5_1"},{"key":"23_CR16","doi-asserted-by":"crossref","unstructured":"Seung, H.S., Opper, M., Sompolinsky, H.: Query by committee. In: Computational Learning Theory (1992)","DOI":"10.1145\/130385.130417"},{"key":"23_CR17","doi-asserted-by":"crossref","unstructured":"Hoi, S.C.H., Jin, R., Zhu, J., Lyu, M.R.: Batch mode active learning and its application to medical image classification. In: ICML (2006)","DOI":"10.1145\/1143844.1143897"},{"key":"23_CR18","unstructured":"Guo, Y., Schuurmans, D.: Discriminative batch mode active learning. In: NIPS (2007)"},{"key":"23_CR19","unstructured":"Schohn, G., Cohn, D.: Less is more: Active learning with support vector machines. In: ICML (2000)"},{"key":"23_CR20","doi-asserted-by":"crossref","unstructured":"Xu, Z., Hogan, C., Bauer, R.: Greedy is not enough: An efficient batch mode active learning algorithm. In: ICDM Workshops (2009)","DOI":"10.1109\/ICDMW.2009.38"},{"key":"23_CR21","unstructured":"Liu, X.Y., Wu, J., Zhou, Z.H.: Exploratory undersampling for class imbalance learning. In: IEEE Trans. on Sys. Man. and Cybernetics (2009)"},{"key":"23_CR22","doi-asserted-by":"crossref","unstructured":"Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: Smote: Synthetic minority over-sampling technique. JAIR\u00a016 (2002)","DOI":"10.1613\/jair.953"},{"key":"23_CR23","doi-asserted-by":"crossref","unstructured":"Tomanek, K., Hahn, U.: Reducing class imbalance during active learning for named entity recognition. In: K-CAP (2009)","DOI":"10.1145\/1597735.1597754"},{"key":"23_CR24","unstructured":"Zhu, J., Hovy, E.: Active learning for word sense disambiguation with methods for dddressing the class imbalance problem. In: EMNLP-CoNLL (2007)"},{"key":"23_CR25","unstructured":"wU, Y., Zhang, R., Rudnicky, E.: Data selection for speech recognition. In: ASRU (2007)"},{"key":"23_CR26","unstructured":"Wagstaff, K., Cardie, C., Rogers, S., Schr\u00f6dl, S.: Constrained k-means clustering with background knowledge. In: ICML (2001)"},{"key":"23_CR27","doi-asserted-by":"crossref","unstructured":"Shortliffe, E.H., Buchanan, B.G.: A model of inexact reasoning in medicine. Mathematical Biosciences\u00a023(3-4) (1975)","DOI":"10.1016\/0025-5564(75)90047-4"},{"key":"23_CR28","doi-asserted-by":"crossref","unstructured":"Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley Interscience (1991)","DOI":"10.1002\/0471200611"},{"key":"23_CR29","doi-asserted-by":"crossref","unstructured":"Mierswa, I., Wurst, M., Klinkenberg, R., Scholz, M., Euler, T.: Yale: Rapid prototyping for complex data mining tasks. In: Proc. KDD (2006)","DOI":"10.1145\/1150402.1150531"},{"key":"23_CR30","unstructured":"Rifkin, R.M., Klautau, A.: In defense of one-vs-all classification. J. Machine Learning (1998)"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-30217-6_23.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T11:31:43Z","timestamp":1620127903000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-30217-6_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642302169","9783642302176"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-30217-6_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}