{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T15:40:05Z","timestamp":1725464405729},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540313137"},{"type":"electronic","value":"9783540313144"}],"license":[{"start":{"date-parts":[[2006,1,1]],"date-time":"2006-01-01T00:00:00Z","timestamp":1136073600000},"content-version":"tdm","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\/3-540-31314-1_25","type":"book-chapter","created":{"date-parts":[[2006,4,19]],"date-time":"2006-04-19T17:56:00Z","timestamp":1145469360000},"page":"214-221","source":"Crossref","is-referenced-by-count":0,"title":["From Ranking to Classification: A Statistical View"],"prefix":"10.1007","author":[{"given":"St\u00e9phan","family":"Cl\u00e9men\u00e7on","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G\u00e1bor","family":"Lugosi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicolas","family":"Vayatis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"25_CR1","unstructured":"AGARWAL, S., HAR-PELED, S., and ROTH, D. (2005): A uniform convergence bound for the area under the ROC curve. In: Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics, Barbados."},{"key":"25_CR2","series-title":"Technical report","volume-title":"On the path to an ideal ROC Curve: considering cost asymmetry in learning classifiers","author":"F.R. Bach","year":"2004","unstructured":"BACH, F.R., HECKERMAN, D., and HORVITZ, E. (2004): On the path to an ideal ROC Curve: considering cost asymmetry in learning classifiers. Technical report MSR-TR-2004-24, University of California, Berkeley."},{"key":"25_CR3","doi-asserted-by":"crossref","unstructured":"CLEMEN\u00c7ON, S., LUGOSI, G., and VAYATIS, N. (2005): Ranking and scoring using empirical risk minimization. Preprint.","DOI":"10.1007\/11503415_1"},{"key":"25_CR4","doi-asserted-by":"crossref","unstructured":"DE LA PE\u00d1A, V. and GINE, E. (1999): Decoupling: from dependence to independence. Springer.","DOI":"10.1007\/978-1-4612-0537-1"},{"key":"25_CR5","doi-asserted-by":"crossref","unstructured":"DEVROYE, L., GY\u00d6RFI, L., and LUGOSI, G. (1996): A Probabilistic Theory of Pattern Recognition. Springer.","DOI":"10.1007\/978-1-4612-0711-5"},{"key":"25_CR6","first-page":"933","volume":"4","author":"Y. Freund","year":"2003","unstructured":"FREUND, Y., IYER, R., SCHAPIRE, R.E., and SINGER, Y. (2003): An Efficient Boosting Algorithm for Combining Preferences. Journal of Machine Learning Research, 4, 933\u2013969.","journal-title":"Journal of Machine Learning Research"},{"key":"25_CR7","volume-title":"Signal detection theory and psychophysics","author":"D.M. Green","year":"1966","unstructured":"GREEN, D.M. and SWETS, J.A. (1966): Signal detection theory and psychophysics. Wiley, New York."},{"key":"25_CR8","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1148\/radiology.143.1.7063747","volume":"143","author":"J.A. Hanley","year":"1982","unstructured":"HANLEY, J.A. and McNEIL, J. (1982): The meaning and use of the area under a ROC curve. Radiology, 143, 29\u201336.","journal-title":"Radiology"},{"key":"25_CR9","doi-asserted-by":"crossref","unstructured":"HERBRICH, R., GRAEPEL, T., and OBERMAYER, K. (2000): Large margin rank boundaries for ordinal regression. In: A. Smola, P.L. Bartlett, B. Sch\u00f6lkopf, and D. Schuurmans (Eds.): Advances in Large Margin Classifiers. The MIT Press, 115\u2013132.","DOI":"10.7551\/mitpress\/1113.003.0010"},{"key":"25_CR10","first-page":"1","volume-title":"Principles of Nonparametric Learning","author":"G. Lugosi","year":"2002","unstructured":"LUGOSI, G. (2002): Pattern classification and learning theory. In: Gy\u00f6rfi, L. (Ed.), Principles of Nonparametric Learning, Springer, Wien, New York, 1\u201356."},{"key":"25_CR11","unstructured":"MASSART, P. and NEDELEC, E. (2003): Risk bounds for statistical learning. Preprint, Universit\u00e9 Paris XI."},{"key":"25_CR12","doi-asserted-by":"crossref","unstructured":"McDIARMID, C. (1989): On the method of bounded differences. In: Surveys in Combinatorics 1989, Cambridge University Press, 148\u2013188.","DOI":"10.1017\/CBO9781107359949.008"},{"key":"25_CR13","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1214\/aos\/1079120131","volume":"32","author":"A. Tsybakov","year":"2004","unstructured":"TSYBAKOV, A. (2004): Optimal aggregation of classifiers in statistical learning. Annals of Statistics, 32, 135\u2013166.","journal-title":"Annals of Statistics"}],"container-title":["Studies in Classification, Data Analysis, and Knowledge Organization","From Data and Information Analysis to Knowledge Engineering"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-31314-1_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,3]],"date-time":"2024-02-03T21:23:27Z","timestamp":1706995407000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-31314-1_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540313137","9783540313144"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/3-540-31314-1_25","relation":{},"ISSN":["1431-8814"],"issn-type":[{"type":"print","value":"1431-8814"}],"subject":[],"published":{"date-parts":[[2006]]}}}