{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T17:26:21Z","timestamp":1725470781506},"publisher-location":"Berlin, Heidelberg","reference-count":12,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540444121"},{"type":"electronic","value":"9783540444145"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11861898_35","type":"book-chapter","created":{"date-parts":[[2006,9,16]],"date-time":"2006-09-16T10:37:43Z","timestamp":1158403063000},"page":"344-353","source":"Crossref","is-referenced-by-count":0,"title":["Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information"],"prefix":"10.1007","author":[{"given":"Mikio L.","family":"Braun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tilman","family":"Lange","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joachim M.","family":"Buhmann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"1","key":"35_CR1","doi-asserted-by":"publisher","first-page":"113","DOI":"10.2307\/3318636","volume":"6","author":"V. Koltchinskii","year":"2000","unstructured":"Koltchinskii, V., Gin\u00e9, E.: Random matrix approximation of spectra of integral operators. Bernoulli\u00a06(1), 113\u2013167 (2000)","journal-title":"Bernoulli"},{"key":"35_CR2","doi-asserted-by":"publisher","first-page":"2510","DOI":"10.1109\/TIT.2005.850052","volume":"51","author":"J.S. Taylor","year":"2005","unstructured":"Taylor, J.S., Williams, C., Cristianini, N., Kandola, J.: On the eigenspectrum of the Gram matrix and the generalization error of kernel PCA. IEEE Transactions on Information Theory\u00a051, 2510\u20132522 (2005)","journal-title":"IEEE Transactions on Information Theory"},{"key":"35_CR3","doi-asserted-by":"crossref","unstructured":"Blanchard, G.: Statistical properties of kernel principal component analysis. Machine Learning (2006)","DOI":"10.1007\/s10994-006-6895-9"},{"key":"35_CR4","first-page":"191","volume":"43","author":"V.I. Koltchinskii","year":"1998","unstructured":"Koltchinskii, V.I.: Asymptotics of spectral projections of some random matrices approximating integral operators. Progress in Probability\u00a043, 191\u2013227 (1998)","journal-title":"Progress in Probability"},{"key":"35_CR5","doi-asserted-by":"crossref","unstructured":"Zwald, L., Blanchard, G.: On the convergence of eigenspaces in kernel principal component analysis. In: NIPS 2005 (2005)","DOI":"10.1007\/978-3-540-27819-1_41"},{"key":"35_CR6","unstructured":"Braun, M.L.: Spectral Properties of the Kernel Matrix and their Application to Kernel Methods in Machine Learning. PhD thesis, University of Bonn, published electronically (2005), available at: http:\/\/hss.ulb.uni-bonn.de\/diss_online\/math_nat_fak\/2005\/braun_mikio"},{"key":"35_CR7","volume-title":"Statistical Learning Theory.","author":"V. Vapnik","year":"1998","unstructured":"Vapnik, V.: Statistical Learning Theory. J. Wiley, Chichester (1998)"},{"key":"35_CR8","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":"35_CR9","volume-title":"Advances in Neural Information Processing Systems 8","author":"C.K.I. Williams","year":"1996","unstructured":"Williams, C.K.I., Rasmussen, C.E.: Gaussian processes for regression. In: Touretzky, D.S., Mozer, M.C., Hasselmo, M.E. (eds.) Advances in Neural Information Processing Systems 8. MIT Press, Cambridge (1996)"},{"key":"35_CR10","doi-asserted-by":"crossref","unstructured":"Wahba, G.: Spline Models For Observational Data. Society for Industrial and Applied Mathematics (1990)","DOI":"10.1137\/1.9781611970128"},{"issue":"3","key":"35_CR11","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1023\/A:1007618119488","volume":"42","author":"G. R\u00e4tsch","year":"2001","unstructured":"R\u00e4tsch, G., Onoda, T., M\u00fcller, K.R.: Soft margins for AdaBoost. Machine Learning\u00a042(3), 287\u2013320 (2001); Also NeuroCOLT Technical Report NC-TR-1998-021","journal-title":"Machine Learning"},{"key":"35_CR12","doi-asserted-by":"publisher","first-page":"215","DOI":"10.2307\/1268518","volume":"21","author":"G. Golub","year":"1979","unstructured":"Golub, G., Heath, M., Wahba, G.: Generalized cross-validation as a method for choosing a good ridge parameter. Technometrics\u00a021, 215\u2013224 (1979)","journal-title":"Technometrics"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11861898_35.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,8]],"date-time":"2023-05-08T21:40:30Z","timestamp":1683582030000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11861898_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540444121","9783540444145"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/11861898_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2006]]}}}