{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,4]],"date-time":"2025-01-04T22:10:22Z","timestamp":1736028622528,"version":"3.32.0"},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540292425"},{"type":"electronic","value":"9783540316961"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11564089_8","type":"book-chapter","created":{"date-parts":[[2005,10,10]],"date-time":"2005-10-10T13:51:09Z","timestamp":1128952269000},"page":"78-91","source":"Crossref","is-referenced-by-count":5,"title":["An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron"],"prefix":"10.1007","author":[{"given":"Adam","family":"Kowalczyk","sequence":"first","affiliation":[]},{"given":"Olivier","family":"Chapelle","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"8_CR1","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1016\/0022-2496(75)90001-2","volume":"12","author":"D. Bamber","year":"1975","unstructured":"Bamber, D.: The area above the ordinal dominance graph and the area below the receiver operating characteristic graph. J. Math. Psych.\u00a012, 387\u2013415 (1975)","journal-title":"J. Math. Psych."},{"key":"8_CR2","first-page":"273","volume":"20","author":"C. Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support vector networks. Machine Learning\u00a020, 273\u2013297 (1995)","journal-title":"Machine Learning"},{"key":"8_CR3","doi-asserted-by":"crossref","unstructured":"Craven, M.: The Genomics of a Signaling Pathway: A KDD Cup Challenge Task. SIGKDD Explorations\u00a04(2) (2002)","DOI":"10.1145\/772862.772877"},{"key":"8_CR4","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511801389","volume-title":"An introduction to support vector machines and other kernel-based learning methods","author":"N. Cristianini","year":"2000","unstructured":"Cristianini, N., Shawe-Taylor, J.: An introduction to support vector machines and other kernel-based learning methods. Cambridge University Press, Cambridge (2000)"},{"key":"8_CR5","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1023\/A:1007662407062","volume":"37","author":"Y. Freund","year":"1999","unstructured":"Freund, Y., Schapire, R.E.: Large margin classification using the perceptron algorithm. Machine Learning\u00a037, 277\u2013296 (1999)","journal-title":"Machine Learning"},{"key":"8_CR6","doi-asserted-by":"crossref","unstructured":"Hall, P., Marron, J.S., Neeman, A.: Geometric representation of high dimension low sample size data, preprint, to appear in the Journal of the Royal Statistical Society, Series B (2005)","DOI":"10.1111\/j.1467-9868.2005.00510.x"},{"key":"8_CR7","unstructured":"Kowalczyk, A., Chapelle, O., Baldwin, G.: Analysis of the anti-learning phenomenon (2005), http:\/\/users.rsise.anu.edu.au\/~akowalczyk\/antilearning\/"},{"key":"8_CR8","unstructured":"Kowalczyk, A., Ong, C.S.: Anti-learning in binary classification (2005), http:\/\/users.rsise.anu.edu.au\/~akowalczyk\/antilearning\/"},{"key":"8_CR9","doi-asserted-by":"crossref","unstructured":"Kowalczyk, A., Raskutti, B.: One Class SVM for Yeast Regulation Prediction. SIGKDD Explorations\u00a04(2) (2002)","DOI":"10.1145\/772862.772878"},{"key":"8_CR10","unstructured":"Langford, J.: (2005), http:\/\/hunch.net\/index.php?p=35"},{"issue":"1","key":"8_CR11","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1145\/1007730.1007739","volume":"6","author":"B. Raskutti","year":"2004","unstructured":"Raskutti, B., Kowalczyk, A.: Extreme re-balancing for SVMs: a case study. SIGKDD Explorations\u00a06(1), 60\u201369 (2004)","journal-title":"SIGKDD Explorations"},{"key":"8_CR12","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/4175.001.0001","volume-title":"Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond","author":"B. Sch\u00f6lkopf","year":"2001","unstructured":"Sch\u00f6lkopf, B., Smola, A.J.: Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond. MIT Press, Cambridge (2001)"},{"key":"8_CR13","volume-title":"Statistical learning theory","author":"V. Vapnik","year":"1998","unstructured":"Vapnik, V.: Statistical learning theory. Wiley, New York (1998)"},{"key":"8_CR14","doi-asserted-by":"crossref","unstructured":"Warmuth, M.K., Vishwanathan, S.V.N.: Leaving the Span. In: COLT 2005 (2005) (to appear)","DOI":"10.1007\/11503415_25"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Wolpert, D.H.: The supervised learning no-free-lunch theorems. In: World Conference on Soft Computing 2001 (2001)","DOI":"10.1007\/978-1-4471-0123-9_3"}],"container-title":["Lecture Notes in Computer Science","Algorithmic Learning Theory"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11564089_8.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,4]],"date-time":"2025-01-04T21:43:17Z","timestamp":1736026997000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11564089_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540292425","9783540316961"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/11564089_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}