{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T22:32:35Z","timestamp":1725489155138},"publisher-location":"Berlin, Heidelberg","reference-count":23,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540001317"},{"type":"electronic","value":"9783540361312"}],"license":[{"start":{"date-parts":[[2002,1,1]],"date-time":"2002-01-01T00:00:00Z","timestamp":1009843200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2002]]},"DOI":"10.1007\/3-540-36131-6_8","type":"book-chapter","created":{"date-parts":[[2007,8,12]],"date-time":"2007-08-12T01:42:30Z","timestamp":1186882950000},"page":"70-79","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Improving Classification Accuracy of Large Test Sets Using the Ordered Classification Algorithm"],"prefix":"10.1007","author":[{"given":"Thamar","family":"Solorio","sequence":"first","affiliation":[]},{"given":"Olac","family":"Fuentes","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2002,11,5]]},"reference":[{"key":"8_CR1","first-page":"81","volume":"1","author":"J.R. Quinlan","year":"1986","unstructured":"J.R. Quinlan. Induction of decision trees. Machine Learning, 1:81\u2013106, 1986.","journal-title":"Machine Learning"},{"key":"8_CR2","volume-title":"C4.5: Programs for machine learning","author":"J.R. Quinlan","year":"1993","unstructured":"J.R. Quinlan. C4.5: Programs for machine learning. 1993. San Mateo, CA: Morgan Kaufmann."},{"key":"8_CR3","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1023\/A:1006559212014","volume":"11","author":"C. G. Atkeson","year":"1997","unstructured":"Christopher G. Atkeson, Andrew W. Moore, and Stefan Schaal. Locally weighted learning. Artificial Intelligence Review, 11:11\u201373, 1997.","journal-title":"Artificial Intelligence Review"},{"key":"8_CR4","unstructured":"A. McCallum and K. Nigam. Employing EM in pool-based active learning for text classification. In Proceedings of the 15th International Conference on Machine Learning, 1998."},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"K. Nigam, A. Mc Callum, S. Thrun, and T. Mitchell. Learning to classify text from labeled and unlabeled documents. Machine Learning, pages 1\u201322, 1999.","DOI":"10.21236\/ADA350490"},{"key":"8_CR6","unstructured":"K. Nigam. Using Unlabeled Data to Improve Text Classification. PhD thesis, Carnegie Mellon University, 2001."},{"key":"8_CR7","unstructured":"S. Baluja. Probabilistic modeling for face orientation discrimination: Learning from labeled and unlabeled data. Neural Information Processing Sys., pages 854\u2013860, 1998."},{"issue":"5","key":"8_CR8","doi-asserted-by":"publisher","first-page":"1087","DOI":"10.1109\/36.312897","volume":"32","author":"B. Shahshahani","year":"1994","unstructured":"B. Shahshahani and D. Landgrebe. The effect of unlabeled samples in reducing the small sample size Problem and mitigating the Hughes phenomenon. IEEE Transactions on Geoscience und Remote Sensing, 32(5):1087\u20131095, 1994.","journal-title":"IEEE Transactions on Geoscience und Remote Sensing"},{"key":"8_CR9","series-title":"Technical Report","volume-title":"Unlabeled data can degrade classification performance of generative classifiers","author":"F. Cozman","year":"2001","unstructured":"F. Cozman and I. Cohen. Unlabeled data can degrade classification performance of generative classifiers. Technical Report HPL-2001-234, Hewlett-Packard Laboratories, 1501 Page Mill Road, September 2001."},{"key":"8_CR10","doi-asserted-by":"crossref","unstructured":"K. Nigam and R. Ghani. Analyzing the effectiveness and applicabitily of cotraining. Ninth International Conference on Information und Knowledgement Management, pages 86\u201393, 2000.","DOI":"10.1145\/354756.354805"},{"key":"8_CR11","doi-asserted-by":"crossref","unstructured":"A. Blum and T. Mitchell. Combining labeled and unlabeled data with co-training. In Proceedings of the 1998 Conference on Computational Learning Theory, July 1998.","DOI":"10.1145\/279943.279962"},{"key":"8_CR12","unstructured":"S. Goldman and Y. Zhou. Enhancing supervised learning with unlabeled data. In Proceedings On the Seventeenth International Conference on Machine Learning: ICML-2000, 2000."},{"issue":"3","key":"8_CR13","doi-asserted-by":"publisher","first-page":"1020","DOI":"10.1109\/36.673695","volume":"36","author":"M.T. Fardanesh","year":"1998","unstructured":"M.T. Fardanesh and K.E. Okan. Classification accuracy improvement of neural network by using unlabeled data. IEEE Transactions on Geoscience und Remote Sensing, 36(3):1020\u20131025, 1998.","journal-title":"IEEE Transactions on Geoscience und Remote Sensing"},{"key":"8_CR14","unstructured":"A. Blum and Shuchi Chawla. Learning from labeled and unlabeled data using graph mincuts. ICML\u201901, pages 19\u201326, 2001."},{"key":"8_CR15","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1080\/10556780108805809","volume":"15","author":"G. Fung","year":"2001","unstructured":"G. Fung and O.L. Mangasarian. Semi-supervised support vector machines for unlabeled data classification. Optimixation Methods and Software, (15):29\u201344, 2001.","journal-title":"Optimixation Methods and Software"},{"key":"8_CR16","unstructured":"M. Szummer and T. Jaakkola. Kerne1 expansions with unlabeled examples. NIPS 13, 2000."},{"issue":"2\/3","key":"8_CR17","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1023\/A:1007330508534","volume":"28","author":"Y. Freund","year":"1997","unstructured":"Y. Freund, H. Seung, E. Shamir, and N. Tishby. Selective sampling using the query by comitee algorithm. Machine Learning, 28(2\/3):133\u2013168, 1997.","journal-title":"Machine Learning"},{"key":"8_CR18","doi-asserted-by":"crossref","unstructured":"S. Argamon-Engelson and I. Dagan. Committee-based sample selection for probabilistic classifers. Journal of Artificial Inteligence Research, (11):335\u2013360, Nov. 1999.","DOI":"10.1613\/jair.612"},{"key":"8_CR19","unstructured":"R. Liere and Prasad Tadepalli. Active learning with committees for text categorization. In Proceedings of the Fourteenth National Conference On Artificial Intelligence, pages 591\u2013596, 1997."},{"key":"8_CR20","unstructured":"C. Merz and P. Murphy. UCI Machine Learning Repository. \n                    http:\/\/www.ics.uci.edu.\/~mlearn\/MLRepository.html\n                    \n                  , 1996."},{"key":"8_CR21","volume-title":"Star Populations in Galaxies","author":"L.A. Jones","year":"1996","unstructured":"L.A. Jones. Star Populations in Galaxies. PhD thesis, University of North Carolina, Chapel Hill, North Carolina, 1996."},{"issue":"2","key":"8_CR22","first-page":"123","volume":"24","author":"L. Breiman","year":"1996","unstructured":"L. Breiman. Bagging predictors. Machine Learning, 24(2):123\u2013140, 1996.","journal-title":"Machine Learning"},{"key":"8_CR23","series-title":"Lect Notes Comput Sci","first-page":"1","volume-title":"Ensemble methods in machine learning","author":"T. Dietterich","year":"2000","unstructured":"T. Dietterich. Ensemble methods in machine learning. In First International Workshop on Multiple Classifier Systems, Lecture Notes in Computer Science, pages 1\u201315, New York: Springer Verlag, 2000. In J. Kittler and F. Roli (Ed.)."}],"container-title":["Lecture Notes in Computer Science","Advances in Artificial Intelligence \u2014 IBERAMIA 2002"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-36131-6_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,19]],"date-time":"2019-05-19T10:16:52Z","timestamp":1558261012000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-36131-6_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002]]},"ISBN":["9783540001317","9783540361312"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/3-540-36131-6_8","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2002]]},"assertion":[{"value":"5 November 2002","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}