{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T09:44:40Z","timestamp":1773654280532,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":14,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540657019","type":"print"},{"value":"9783540490975","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[1999]]},"DOI":"10.1007\/3-540-49097-3_21","type":"book-chapter","created":{"date-parts":[[2007,4,5]],"date-time":"2007-04-05T10:32:28Z","timestamp":1175769148000},"page":"263-273","source":"Crossref","is-referenced-by-count":18,"title":["Margin Distribution Bounds on Generalization"],"prefix":"10.1007","author":[{"given":"John","family":"Shawe-Taylor","sequence":"first","affiliation":[]},{"given":"Nello","family":"Cristianini","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[1999,11,19]]},"reference":[{"key":"21_CR1","unstructured":"Peter Bartlett, Pattern Classification in Neural Networks, IEEE Transactions on Information Theory, to appear."},{"key":"21_CR2","volume-title":"Advances in Kernel Methods-Support Vector Learning","author":"P. Bartlett","year":"1998","unstructured":"Peter Bartlett and John Shawe-Taylor, Generalization Performance of Support Vector Machines and Other Pattern Classifiers, In \u2018Advances in Kernel Methods-Support Vector Learning\u2019, Bernhard Sch\u00f6lkopf, Christopher J.C. Burges, and Alexander J. Smola (eds.), MIT Press, Cambridge, USA, 1998."},{"issue":"3","key":"21_CR3","first-page":"273","volume":"20","author":"C. Cortes","year":"1995","unstructured":"C. Cortes and V. Vapnik, Support-Vector Networks, Machine Learning, 20(3): 273\u2013297, September 1995","journal-title":"Machine Learning"},{"key":"21_CR4","unstructured":"Nello Cristianini, John Shawe-Taylor, and Peter Sykacek, Bayesian Classifiers are Large Margin Hyperplanes in a Hilbert Space, in Shavlik, J., ed., Machine Learning: Proceedings of the Fifteenth International Conference, Morgan Kaufmann Publishers, San Francisco, CA."},{"key":"21_CR5","volume-title":"Pattern Classification and Scene Analysis","author":"R.O. Duda","year":"1973","unstructured":"R.O. Duda and P.E. Hart, Pattern Classification and Scene Analysis, New York: Wiley, 1973."},{"key":"21_CR6","doi-asserted-by":"crossref","unstructured":"Yoav Freund and Robert E. Schapire, Large Margin Classification Using the Perceptron Algorithm, Proceedings of the Eleventh Annual Conference on Computational Learning Theory, 1998.","DOI":"10.1145\/279943.279985"},{"key":"21_CR7","doi-asserted-by":"crossref","unstructured":"Leonid Gurvits, A note on a scale-sensitive dimension of linear bounded functionals in Banach spaces. In Proceedings of Algorithm Learning Theory, ALT-97, and as NECI Technical Report, 1997.","DOI":"10.1007\/3-540-63577-7_54"},{"key":"21_CR8","doi-asserted-by":"crossref","unstructured":"Norbert Klasner and Hans Ulrich Simon, From Noise-Free to Noise-Tolerant and from On-line to Batch Learning, Proceedings of the Eighth Annual Conference on Computational Learning Theory, COLT\u201995, 1995, pp. 250\u2013257.","DOI":"10.1145\/225298.225328"},{"key":"21_CR9","unstructured":"R. Schapire, Y. Freund, P. Bartlett, W. Sun Lee, Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods. In D.H. Fisher, Jr., editor, Proceedings of International Conference on Machine Learning, ICML\u201997, pages 322\u2013330, Nashville, Tennessee, July 1997. Morgan Kaufmann Publishers."},{"key":"21_CR10","unstructured":"John Shawe-Taylor, Peter L. Bartlett, Robert C. Williamson, Martin Anthony, Structural Risk Minimization over Data-Dependent Hierarchies, to appear in IEEE Trans. on Inf. Theory, and NeuroCOLT Technical Report NC-TR-96-053, 1996. ( ftp:\/\/ftp.dcs.rhbnc.ac.uk\/pub\/neurocolt\/tech reports )."},{"key":"21_CR11","doi-asserted-by":"crossref","unstructured":"John Shawe-Taylor and Robert C. Williamson, Generalization Performance of Classifiers in Terms of Observed Covering Numbers, Submitted to EuroCOLT\u201999, 1998.","DOI":"10.1007\/3-540-49097-3_22"},{"key":"21_CR12","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The Nature of Statistical Learning Theory","author":"V. N. Vapnik","year":"1995","unstructured":"Vladimir N. Vapnik, The Nature of Statistical Learning Theory, Springer-Verlag, New York, 1995."},{"key":"21_CR13","volume-title":"Estimation of Dependences Based on Empirical Data","author":"V. N. Vapnik","year":"1982","unstructured":"Vladimir N. Vapnik, Estimation of Dependences Based on Empirical Data, Springer-Verlag, New York, 1982."},{"key":"21_CR14","doi-asserted-by":"publisher","first-page":"851","DOI":"10.1162\/neco.1994.6.5.851","volume":"6","author":"V. N. Vapnik","year":"1994","unstructured":"Vladimir N. Vapnik, Esther Levin and Yann Le Cunn, Measuring the VC-dimension of a learning machine, Neural Computation, 6:851\u2013876, 1994.","journal-title":"Neural Computation"}],"container-title":["Lecture Notes in Computer Science","Computational Learning Theory"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-49097-3_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,27]],"date-time":"2019-04-27T03:33:20Z","timestamp":1556336000000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-49097-3_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1999]]},"ISBN":["9783540657019","9783540490975"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/3-540-49097-3_21","relation":{},"ISSN":["0302-9743"],"issn-type":[{"value":"0302-9743","type":"print"}],"subject":[],"published":{"date-parts":[[1999]]}}}