{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T03:27:45Z","timestamp":1778038065375,"version":"3.51.4"},"publisher-location":"Berlin, Heidelberg","reference-count":14,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642332654","type":"print"},{"value":"9783642332661","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-33266-1_61","type":"book-chapter","created":{"date-parts":[[2012,9,18]],"date-time":"2012-09-18T23:42:31Z","timestamp":1348011751000},"page":"491-498","source":"Crossref","is-referenced-by-count":2,"title":["Rademacher Complexity and Structural Risk Minimization: An Application to Human Gene Expression Datasets"],"prefix":"10.1007","author":[{"given":"Luca","family":"Oneto","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Davide","family":"Anguita","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alessandro","family":"Ghio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sandro","family":"Ridella","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"61_CR1","doi-asserted-by":"crossref","unstructured":"Anguita, D., Ghio, A., Oneto, L., Ridella, S.: In-sample Model Selection for Support Vector Machines. In: Proc. of the Int. Joint Conference on Neural Networks (2011)","DOI":"10.1109\/IJCNN.2011.6033354"},{"key":"61_CR2","doi-asserted-by":"crossref","unstructured":"Anguita, D., Ghio, A., Oneto, L., Ridella, S.: Selecting the Hypothesis Space for Improving the Generalization Ability of Support Vector Machines. In: Proc. of the Int. Joint Conference on Neural Networks (2011)","DOI":"10.1109\/IJCNN.2011.6033356"},{"key":"61_CR3","doi-asserted-by":"publisher","first-page":"1436","DOI":"10.1016\/j.neucom.2010.12.009","volume":"74","author":"D. Anguita","year":"2011","unstructured":"Anguita, D., Ghio, A., Ridella, S.: Maximal Discrepancy for Support Vector Machines. Neurocomputing\u00a074, 1436\u20131443 (2011)","journal-title":"Neurocomputing"},{"issue":"5-6","key":"61_CR4","doi-asserted-by":"publisher","first-page":"763","DOI":"10.1016\/S0893-6080(03)00087-X","volume":"16","author":"D. Anguita","year":"2003","unstructured":"Anguita, D., Ridella, S., Rivieccio, F., Zunino, R.: Quantum optimization for training support vector machines. Neural Networks\u00a016(5-6), 763\u2013770 (2003)","journal-title":"Neural Networks"},{"key":"61_CR5","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1023\/A:1013999503812","volume":"48","author":"P.L. Bartlett","year":"2002","unstructured":"Bartlett, P.L., Boucheron, S., Lugosi, G.: Model selection and error estimation. Machine Learning\u00a048, 85\u2013113 (2002)","journal-title":"Machine Learning"},{"issue":"3","key":"61_CR6","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1093\/bioinformatics\/btg419","volume":"20","author":"U.M. Braga-Neto","year":"2004","unstructured":"Braga-Neto, U.M., Dougherty, E.R.: Is cross-validation valid for small-sample microarray classification? Bioinformatics\u00a020(3), 374 (2004)","journal-title":"Bioinformatics"},{"key":"61_CR7","doi-asserted-by":"crossref","unstructured":"Collobert, R., Sinz, F., Weston, J., Bottou, L.: Trading convexity for scalability. In: Proceedings of the 23rd International Conference on Machine Learning, pp. 201\u2013208 (2006)","DOI":"10.1145\/1143844.1143870"},{"key":"61_CR8","unstructured":"Hsu, C., Chang, C., Lin, C., et al.: A practical guide to support vector classification (2003)"},{"key":"61_CR9","unstructured":"Kohavi, R.: A study of cross-validation and bootstrap for accuracy estimation and model selection. In: International Joint Conference on Artificial Intelligence, vol.\u00a014, pp. 1137\u20131145 (1995)"},{"key":"61_CR10","doi-asserted-by":"publisher","first-page":"1216","DOI":"10.1007\/978-3-540-30499-9_189","volume":"3316","author":"K. Pelckmans","year":"2004","unstructured":"Pelckmans, K., Suykens, J.A.K., De Moor, B.: Morozov, ivanov and tikhonov regularization based ls-svms. Neural Information Processing\u00a03316, 1216\u20131222 (2004)","journal-title":"Neural Information Processing"},{"key":"61_CR11","first-page":"98","volume":"208","author":"J. Platt","year":"1999","unstructured":"Platt, J.: Sequential minimal optimization: A fast algorithm for training support vector machines. Advances in Kernel Methods-Support Vector Learning\u00a0208, 98\u2013112 (1999)","journal-title":"Advances in Kernel Methods-Support Vector Learning"},{"key":"61_CR12","doi-asserted-by":"crossref","unstructured":"Shawe-Taylor, J., Cristianini, N.: Kernel methods for pattern analysis. Cambridge University Press (2004)","DOI":"10.1017\/CBO9780511809682"},{"issue":"5","key":"61_CR13","doi-asserted-by":"publisher","first-page":"631","DOI":"10.1093\/bioinformatics\/bti033","volume":"21","author":"A. Statnikov","year":"2005","unstructured":"Statnikov, A., Aliferis, C.F., Tsamardinos, I., Hardin, D., Levy, S.: A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis. Bioinformatics\u00a021(5), 631 (2005)","journal-title":"Bioinformatics"},{"key":"61_CR14","unstructured":"Vapnik, V.N.: Statistical learning theory. Wiley Interscience (1998)"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2012"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-33266-1_61","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,7]],"date-time":"2019-05-07T11:36:36Z","timestamp":1557228996000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-33266-1_61"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642332654","9783642332661"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-33266-1_61","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012]]}}}