{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T19:51:38Z","timestamp":1760385098753},"publisher-location":"Berlin, Heidelberg","reference-count":19,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540231059"},{"type":"electronic","value":"9783540301158"}],"license":[{"start":{"date-parts":[[2004,1,1]],"date-time":"2004-01-01T00:00:00Z","timestamp":1072915200000},"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":[[2004]]},"DOI":"10.1007\/978-3-540-30115-8_23","type":"book-chapter","created":{"date-parts":[[2010,9,17]],"date-time":"2010-09-17T23:24:16Z","timestamp":1284765856000},"page":"227-238","source":"Crossref","is-referenced-by-count":19,"title":["Margin Maximizing Discriminant Analysis"],"prefix":"10.1007","author":[{"given":"Andr\u00e1s","family":"Kocsor","sequence":"first","affiliation":[]},{"given":"Korn\u00e9l","family":"Kov\u00e1cs","sequence":"additional","affiliation":[]},{"given":"Csaba","family":"Szepesv\u00e1ri","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"23_CR1","first-page":"821","volume":"25","author":"M. Aizerman","year":"1964","unstructured":"Aizerman, M., Braverman, E., Rozonoer, L.: Theoretical foundations of the potential function method in pattern recognition learning. Automation and Remote Control\u00a025, 821\u2013837 (1964)","journal-title":"Automation and Remote Control"},{"issue":"10","key":"23_CR2","doi-asserted-by":"publisher","first-page":"2385","DOI":"10.1162\/089976600300014980","volume":"12","author":"G. Baudat","year":"2000","unstructured":"Baudat, G., Anouar, F.: Generalized discriminant analysis using a kernel approach. Neural Computation\u00a012(10), 2385\u20132404 (2000)","journal-title":"Neural Computation"},{"issue":"2","key":"23_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/380995.380999","volume":"2","author":"K.P. Bennett","year":"2000","unstructured":"Bennett, K.P., Campbell, C.: Support vector machines: Hype or hallelujah? SIGKDD Explorations\u00a02(2), 1\u201313 (2000)","journal-title":"SIGKDD Explorations"},{"key":"23_CR4","unstructured":"Blake, C.L., Merz, C.J.: UCI repository of machine learning databases (1998)"},{"key":"23_CR5","doi-asserted-by":"crossref","unstructured":"Boser, B.E., Guyon, I., Vapnik, V.: A training algorithm for optimal margin classifiers. In: Computational Learing Theory, pp. 144\u2013152 (1992)","DOI":"10.1145\/130385.130401"},{"key":"23_CR6","first-page":"73","volume":"5","author":"K. Fukumizu","year":"2004","unstructured":"Fukumizu, K., Bach, F.R., Jordan, M.I.: Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces. Journal of Machine Learning Research\u00a05, 73\u201399 (2004)","journal-title":"Journal of Machine Learning Research"},{"key":"23_CR7","volume-title":"Statistical Pattern Recognition","author":"K. Fukunaga","year":"1989","unstructured":"Fukunaga, K.: Statistical Pattern Recognition. Acad. Press, NY (1989)"},{"key":"23_CR8","first-page":"224","volume-title":"Advances in Neural Information Processing Systems","author":"R. Herbrich","year":"2000","unstructured":"Herbrich, R., Graepel, T.: A PAC-bayesian margin bound for linear classifiers: Why SVMs work. In: Advances in Neural Information Processing Systems, vol.\u00a013, pp. 224\u2013230. MIT Press, Cambridge (2000)"},{"key":"23_CR9","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-1904-8","volume-title":"Principal Component Analysis","author":"I.J. Jolliffe","year":"1986","unstructured":"Jolliffe, I.J.: Principal Component Analysis. Springer, NY (1986)"},{"key":"23_CR10","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1007\/3-540-46154-X_45","volume-title":"Text, Speech and Dialogue","author":"A. Kocsor","year":"2002","unstructured":"Kocsor, A., Kov\u00e1cs, K.: Kernel Springy Discriminant Analysis and Its Application to a Phonological Awareness Teaching System. In: Sojka, P., Kope\u010dek, I., Pala, K. (eds.) TSD 2002. LNCS (LNAI), vol.\u00a02448, pp. 325\u2013328. Springer, Heidelberg (2002)"},{"issue":"8","key":"23_CR11","doi-asserted-by":"crossref","first-page":"2250","DOI":"10.1109\/TSP.2004.830995","volume":"52","author":"A. Kocsor","year":"2004","unstructured":"Kocsor, A., T\u00f3th, L.: Kernel-Based Feature Extraction with a Speech Technology Application. IEEE Trans. Signal Processing.\u00a052(8) (2004)","journal-title":"IEEE Transactions on Signal Processing"},{"key":"23_CR12","unstructured":"Li, H., Jiang, T., Zhang, K.: Efficient and robust feature extraction by maximum margin criterion. In: Advances in Neural Information Processing Systems, Vancouver, Canada, vol.\u00a016, pp. 97\u2013104 (2003)"},{"key":"23_CR13","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1098\/rsta.1909.0016","volume":"209","author":"J. Mercer","year":"1909","unstructured":"Mercer, J.: Functions of positive and negative type and their connection with the theory of integral equations. Phil. Trans. Roy. Soc. London, A\u00a0209, 415\u2013446 (1909)","journal-title":"Phil. Trans. Roy. Soc. London, A"},{"key":"23_CR14","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1109\/NNSP.1999.788121","volume-title":"Neural Networks for Signal Processing IX","author":"S. Mika","year":"1999","unstructured":"Mika, S., R\u00e4tsch, G., Weston, J., Sch\u00f6lkopf, B., M\u00fcller, K.-R.: Fisher discriminant analysis with kernels. In: Hu, Y.-H., Larsen, J., Wilson, E., Douglas, S. (eds.) Neural Networks for Signal Processing IX, pp. 41\u201348. IEEE, Los Alamitos (1999)"},{"key":"23_CR15","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1007\/BF02281970","volume":"19","author":"T. Poggio","year":"1975","unstructured":"Poggio, T.: On optimal nonlinear associative recall. Biol. Cyber.\u00a019, 201\u2013209 (1975)","journal-title":"Biol. Cyber."},{"key":"23_CR16","volume-title":"C4.5: Programs for Machine Learning","author":"J.R. Quinlan","year":"1993","unstructured":"Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo (1993)"},{"key":"23_CR17","unstructured":"Roth, V., Steinhage, V.: Nonlinear discriminant analysis using kernel functions. In: Adv. in Neural Information Processing Systems NIPS, vol.\u00a012, pp. 568\u2013574 (1999)"},{"key":"23_CR18","first-page":"327","volume-title":"Adv. in Kernel Methods - SV Learning","author":"B. Sch\u00f6lkopf","year":"1999","unstructured":"Sch\u00f6lkopf, B., Smola, A., M\u00fcller, K.: Kernel principal component analysis. In: Adv. in Kernel Methods - SV Learning, pp. 327\u2013352. MIT Press, Cambr. (1999)"},{"key":"23_CR19","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The Nature of Statistical Learning Theory","author":"V. Vapnik","year":"1995","unstructured":"Vapnik, V.: The Nature of Statistical Learning Theory. Springer, NY (1995)"}],"container-title":["Lecture Notes in Computer Science","Machine Learning: ECML 2004"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-30115-8_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,19]],"date-time":"2019-05-19T18:41:41Z","timestamp":1558291301000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-30115-8_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004]]},"ISBN":["9783540231059","9783540301158"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-30115-8_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2004]]}}}