{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T23:38:35Z","timestamp":1725493115471},"publisher-location":"Berlin, Heidelberg","reference-count":27,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540440741"},{"type":"electronic","value":"9783540460848"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2002]]},"DOI":"10.1007\/3-540-46084-5_93","type":"book-chapter","created":{"date-parts":[[2007,10,19]],"date-time":"2007-10-19T12:20:51Z","timestamp":1192796451000},"page":"571-576","source":"Crossref","is-referenced-by-count":5,"title":["A Mixed Ensemble Approach for the Semi-supervised Problem"],"prefix":"10.1007","author":[{"given":"Evgenia","family":"Dimitriadou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Weingessel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kurt","family":"Hornik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2002,8,21]]},"reference":[{"key":"93_CR1","first-page":"933","volume":"7","author":"S. Becker","year":"1995","unstructured":"S. Becker. JPMAX: Learning to recognize moving objects as a model-fitting problem. In Advances in NIPS, volume 7, pages 933\u2013940, 1995.","journal-title":"Advances in NIPS"},{"key":"93_CR2","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1038\/355161a0","volume":"355","author":"S. Becker","year":"1992","unstructured":"S. Becker and G. E. Hinton. A self-organizing neural network that discovers surfaces in random-dot stereograms. Nature, 355:161\u2013163, 1992.","journal-title":"Nature"},{"key":"93_CR3","doi-asserted-by":"crossref","unstructured":"A. Blum and T. Mitchell. Combining labeled and unlabeled data with Co-training. In Proc. of COLT, 1998.","DOI":"10.1145\/279943.279962"},{"key":"93_CR4","volume-title":"Technical report","author":"L. Breiman","year":"1996","unstructured":"L. Breiman. Bias, variance, and arcing classifiers. Technical report, Tech. Rep. 460, Statistics Department, University of California, Berkeley, CA, USA, 1996."},{"key":"93_CR5","doi-asserted-by":"crossref","unstructured":"J. C. Burges. A tutorial on Support Vector Machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2), 1998.","DOI":"10.1023\/A:1009715923555"},{"key":"93_CR6","unstructured":"M. Collins and Y. Singer. Unsupervised models for named entity classification. In Proc. ofEMNLP, 1999."},{"key":"93_CR7","doi-asserted-by":"crossref","unstructured":"Evgenia Dimitriadou, Andreas Weingessel, and Kurt Hornik. A combination scheme for fuzzy clustering. In Advances in Soft Computing (AFSS02), pages 332\u2013338, 2002.","DOI":"10.1007\/3-540-45631-7_44"},{"key":"93_CR8","unstructured":"Y. Freund and R. Schapire. Experiments with a new boosting algorithm. In Machine Learning: Proc. of the 13th international conference, 1996."},{"key":"93_CR9","unstructured":"Bernd Fritzke. Some competitive learning methods, April 5 1997. http:\/\/www.neuroinformatik.ruhr-uni-bochum.de\/ini\/VDM\/research\/gsn\/ ."},{"key":"93_CR10","unstructured":"S. Goldman and Y. Zhou. Enhancing supervised learning with unlabeled data. In Int. Joint Conference on Machine Learning, 2000."},{"key":"93_CR11","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1007\/3-540-44668-0_7","volume-title":"Artificial Neural Networks \u2014 ICANN 2001","author":"Yves Grandvalet","year":"2001","unstructured":"Y. Grandvalet, F. d\u2019Alche Buc, and C. Ambroise. Boosting mixture models for semi-supervised learning. In G. Dorffner, H. Bischof, and K. Hornik, editors, ICANN 2001, pages 41\u201348, Vienna, Austria, 2001. Springer."},{"volume-title":"Nonparametric Regression and Generalized Linear Models","year":"1994","key":"93_CR12","unstructured":"P. J. Green and B. Silverman, editors. Nonparametric Regression and Generalized Linear Models. Chapman and Hall, London, 1994."},{"key":"93_CR13","first-page":"571","volume":"9","author":"D. Miller","year":"1996","unstructured":"D. Miller and H. Ugar. A mixture of experts classifier with learning based both on labeled and unlabeled data. Adv. in Neural Inf. Proc. Systems, 9:571\u2013577, 1996.","journal-title":"Adv. in Neural Inf. Proc. Systems"},{"key":"93_CR14","unstructured":"T. Mitchell. The role of unlabeled data in supervised learning. In Proc. of the 6th International Colloquium on Cognitive Science, 1999."},{"key":"93_CR15","doi-asserted-by":"crossref","unstructured":"K. Nigam, A. McCallum, S. Thrun, and T. Mitchell. Text classification from labeled and unlabeled documents using EM. In Proc. of National Conference on Artificial Intelligence, 1998.","DOI":"10.21236\/ADA350490"},{"key":"93_CR16","doi-asserted-by":"publisher","first-page":"821","DOI":"10.2307\/2286287","volume":"73","author":"T. J. O\u2019Neil","year":"1978","unstructured":"T. J. O\u2019Neil. Normal discrimination with unclassified observations. J. of the American Statistical Association, 73:821\u2013826, 1978.","journal-title":"J. of the American Statistical Association"},{"key":"93_CR17","unstructured":"Original owners: National Institute of Diabetes, Digestive, and Kidney Diseases. Pima indians diabetes. Donor of database: Vincent Sigillito (vgs@aplcen.apl.jhu.edu). http:\/\/ftp.ics.uci.edu:\/\/pub\/machine-learning-databases ."},{"issue":"3","key":"93_CR18","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1023\/A:1007618119488","volume":"42","author":"G. Raetsch","year":"2001","unstructured":"G. Raetsch, T. Onoba, and K. R. Mueller. Soft margins for AdaBoost. Machine Learning, 42(3):287\u2013320, 2001.","journal-title":"Machine Learning"},{"key":"93_CR19","doi-asserted-by":"crossref","unstructured":"R. Schapire and Y. Singer. Improved boosting algorithms using confidence-rated predictions. In Proc. 11th Annual Conf. on Computational Learning Theory, 1998.","DOI":"10.1145\/279943.279960"},{"key":"93_CR20","unstructured":"Matthias Seeger. Input-dependent regularization of conditional density models. Technical report, In. f. Adaptive and N. Computation, Univ. of Edinburgh, 2000."},{"key":"93_CR21","unstructured":"Matthias Seeger. Learning with labeled and unlabeled data. Technical report, Inst. for Adaptive and Neural Computation, Univ. of Edinburgh, 2001."},{"key":"93_CR22","unstructured":"D. Titterington, A. Smith, and U. Makov, editors. Statistical Analysis of Finite Mixture Distributions. Wiley Series in Probability and Mathem. Stat., 1985."},{"key":"93_CR23","unstructured":"V. N. Vapnik. Statistical Learning Theory. Wiley, 1998."},{"key":"93_CR24","unstructured":"Andreas Weingessel, Evgenia Dimitriadou, and Kurt Hornik. A voting scheme for cluster algorithms. In Gerald Krell, Bernd Michaelis, Detlef Nauck, and Rudolf Kruse, editors, Neural Networks in Applications, Proc. 4th Int. Workshop NN\u201999, pages 31\u201337, 1999."},{"key":"93_CR25","doi-asserted-by":"crossref","unstructured":"C. K. I. Williams. Prediction with gaussian processes: From linear regression to linear prediction and beyond. In M. I. Jordan, editor, Learning in Graphical Models. Kluwer, 1997.","DOI":"10.1007\/978-94-011-5014-9_23"},{"key":"93_CR26","unstructured":"C. K. I. Williams and C.E. Rasmussen. Gaussian processes for regression. Advances in Neural Information and Processing Systems, 8, 1996."},{"key":"93_CR27","unstructured":"T. Zhang and F. Oles. A probability analysis on the value of unlabeled data for classification problems. In Int. Joint Conf. on Machine Learning, 2000."}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks \u2014 ICANN 2002"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-46084-5_93","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,3]],"date-time":"2019-05-03T21:36:42Z","timestamp":1556919402000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-46084-5_93"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002]]},"ISBN":["9783540440741","9783540460848"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/3-540-46084-5_93","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2002]]}}}