{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T05:17:03Z","timestamp":1777439823091,"version":"3.51.4"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"1-2","license":[{"start":{"date-parts":[[2009,10,14]],"date-time":"2009-10-14T00:00:00Z","timestamp":1255478400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Mach Learn"],"published-print":{"date-parts":[[2010,5]]},"DOI":"10.1007\/s10994-009-5150-6","type":"journal-article","created":{"date-parts":[[2009,10,14]],"date-time":"2009-10-14T09:18:31Z","timestamp":1255511911000},"page":"73-103","source":"Crossref","is-referenced-by-count":57,"title":["Composite kernel learning"],"prefix":"10.1007","volume":"79","author":[{"given":"Marie","family":"Szafranski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yves","family":"Grandvalet","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alain","family":"Rakotomamonjy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2009,10,14]]},"reference":[{"key":"5150_CR1","first-page":"41","volume-title":"Proceedings of the twenty-third international conference on machine learning","author":"A. Argyriou","year":"2006","unstructured":"Argyriou, A., Hauser, R., Micchelli, C. A., & Pontil, M. (2006). A dc-programming algorithm for kernel selection. In W. W. Cohen & A. Moore (Eds.), Proceedings of the twenty-third international conference on machine learning (pp. 41\u201348). New York: ACM."},{"issue":"3","key":"5150_CR2","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1007\/s10994-007-5040-8","volume":"73","author":"A. Argyriou","year":"2008","unstructured":"Argyriou, A., Evgeniou, T., & Pontil, M. (2008). Convex multi-task feature learning. Machine Learning, 73(3), 243\u2013272.","journal-title":"Machine Learning"},{"key":"5150_CR3","volume-title":"Advances in neural information processing systems 21","author":"F. Bach","year":"2009","unstructured":"Bach, F. (2009). Exploring large feature spaces with hierarchical multiple kernel learning. In Advances in neural information processing systems 21. Cambridge: MIT Press."},{"key":"5150_CR4","series-title":"ACM international conference proceeding series","first-page":"41","volume-title":"Proceedings of the 21th annual international conference on machine learning (ICML 2004)","author":"F. R. Bach","year":"2004","unstructured":"Bach, F. R., Lanckriet, G. R. G., & Jordan, M. I. (2004). Multiple kernel learning, conic duality, and the SMO algorithm. In ACM international conference proceeding series. Proceedings of the 21th annual international conference on machine learning (ICML 2004) (pp. 41\u201348). New York: ACM."},{"key":"5150_CR5","first-page":"1089","volume":"5","author":"Y. Bengio","year":"2004","unstructured":"Bengio, Y., & Grandvalet, Y. (2004). No unbiased estimator of the variance of K-fold cross-validation. Journal of Machine Learning Research (JMLR), 5, 1089\u20131105.","journal-title":"Journal of Machine Learning Research (JMLR)"},{"issue":"6","key":"5150_CR6","doi-asserted-by":"crossref","first-page":"1044","DOI":"10.1109\/TBME.2004.826692","volume":"51","author":"B. Blankertz","year":"2004","unstructured":"Blankertz, B., M\u00fcller, K.-R., Curio, G., Vaughan, T. M., Schalk, G., Wolpaw, J. R., Schl\u00f6gl, A., Neuper, C., Pfurtscheller, G., Hinterberger, T., Schr\u00f6der, M., & Birbaumer, N. (2004). The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials. IEEE Transactions on Biomedical Engineering, 51(6), 1044\u20131051.","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"5150_CR7","first-page":"499","volume":"2","author":"O. Bousquet","year":"2002","unstructured":"Bousquet, O., & Elisseeff, A. (2002). Stability and generalization. Journal of Machine Learning Research, 2, 499\u2013526.","journal-title":"Journal of Machine Learning Research"},{"key":"5150_CR8","first-page":"399","volume-title":"Advances in neural information processing systems 15","author":"O. Bousquet","year":"2003","unstructured":"Bousquet, O., & Herrmann, D. J. L. (2003). On the complexity of learning the kernel matrix. In S. Becker, S. Thrun, & K. Obermayer (Eds.), Advances in neural information processing systems 15 (pp. 399\u2013406). Cambridge: MIT Press."},{"issue":"6","key":"5150_CR9","doi-asserted-by":"crossref","first-page":"2350","DOI":"10.1214\/aos\/1032181158","volume":"24","author":"L. Breiman","year":"1996","unstructured":"Breiman, L. (1996). Heuristics of instability and stabilization in model selection. Annals of Statistics, 24(6), 2350\u20132383.","journal-title":"Annals of Statistics"},{"issue":"1","key":"5150_CR10","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1023\/A:1012450327387","volume":"46","author":"O. Chapelle","year":"2002","unstructured":"Chapelle, O., Vapnik, V., Bousquet, O., & Mukherjee, S. (2002). Choosing multiple parameters for support vector machines. Machine Learning, 46(1), 131\u2013159.","journal-title":"Machine Learning"},{"key":"5150_CR11","first-page":"204","volume-title":"Advances in neural information processing systems 11","author":"N. Cristianini","year":"1999","unstructured":"Cristianini, N., Campbell, C., & Shawe-Taylor, J. (1999). Dynamically adapting kernels in support vector machines. In M. S. Kearns, S. A. Solla, & D. A. Cohn (Eds.), Advances in neural information processing systems 11 (pp. 204\u2013210). Cambridge: MIT Press."},{"key":"5150_CR12","doi-asserted-by":"crossref","first-page":"367","DOI":"10.7551\/mitpress\/1120.003.0052","volume-title":"Advances in neural information processing systems 14","author":"N. Cristianini","year":"2002","unstructured":"Cristianini, N., Shawe-Taylor, J., Elisseeff, A., & Kandola, K. (2002). On kernel-target alignment. In T. G. Dietterich, S. Becker, & Z. Ghahramani (Eds.), Advances in neural information processing systems 14 (pp. 367\u2013373). Cambridge: MIT Press."},{"issue":"6","key":"5150_CR13","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1016\/0013-4694(88)90149-6","volume":"70","author":"A. Farwell","year":"1998","unstructured":"Farwell, A., & Donchin, E. (1998). Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalography and Clinical Neurophysiology, 70(6), 510\u2013523.","journal-title":"Electroencephalography and Clinical Neurophysiology"},{"issue":"4","key":"5150_CR14","doi-asserted-by":"crossref","first-page":"1257","DOI":"10.1109\/TBME.2008.2005486","volume":"56","author":"G. Garipelli","year":"2009","unstructured":"Garipelli, G., Chavarriaga, R., & del Mill\u00e1n, J. R. (2009). Fast recognition of anticipation related potentials. IEEE Transactions on Biomedical Engineering, 56(4), 1257\u20131260.","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"5150_CR15","first-page":"445","volume-title":"Advances in neural information processing systems 11 (NIPS 1998)","author":"Y. Grandvalet","year":"1999","unstructured":"Grandvalet, Y., & Canu, S. (1999). Outcomes of the equivalence of adaptive ridge with least absolute shrinkage. In M. S. Kearns, S. A. Solla, & D. A. Cohn (Eds.), Advances in neural information processing systems 11 (NIPS 1998) (pp. 445\u2013451). Cambridge: MIT Press."},{"key":"5150_CR16","first-page":"569","volume-title":"Advances in neural information processing systems 15","author":"Y. Grandvalet","year":"2003","unstructured":"Grandvalet, Y., & Canu, S. (2003). Adaptive scaling for feature selection in SVMs. In S. Becker, S. Thrun, & K. Obermayer (Eds.), Advances in neural information processing systems 15 (pp. 569\u2013576). Cambridge: MIT Press."},{"key":"5150_CR17","first-page":"1157","volume":"3","author":"I. Guyon","year":"2003","unstructured":"Guyon, I., & Elisseeff, A. (2003). An introduction to variable and feature selection. Journal of Machine Learning Research, 3, 1157\u20131182.","journal-title":"Journal of Machine Learning Research"},{"key":"5150_CR18","unstructured":"Kowalski, M., & Torr\u00e9sani, B. (2008). Sparsity and persistence: mixed norms provide simple signals models with dependent coefficients. Signal, Image and Video Processing, 1863\u20131703."},{"key":"5150_CR19","first-page":"27","volume":"5","author":"G. R. G. Lanckriet","year":"2004","unstructured":"Lanckriet, G. R. G., Cristianini, N., Bartlett, P., El Ghaoui, L., & Jordan, M. I. (2004). Learning the kernel matrix with semi-definite programming. Journal of Machine Learning Research, 5, 27\u201372.","journal-title":"Journal of Machine Learning Research"},{"issue":"2","key":"5150_CR20","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1137\/S0036139997327794","volume":"61","author":"M. Nikolova","year":"2000","unstructured":"Nikolova, M. (2000). Local strong homogeneity of a regularized estimator. SIAM Journal on Applied Mathematics, 61(2), 633\u2013658.","journal-title":"SIAM Journal on Applied Mathematics"},{"key":"5150_CR21","first-page":"1043","volume":"6","author":"C. S. Ong","year":"2005","unstructured":"Ong, C. S., Smola, A. J., & Williamson, R. C. (2005). Learning the kernel with hyperkernels. Journal of Machine Learning Research, 6, 1043\u20131071.","journal-title":"Journal of Machine Learning Research"},{"issue":"3","key":"5150_CR22","doi-asserted-by":"crossref","first-page":"1147","DOI":"10.1109\/TBME.2008.915728","volume":"55","author":"A. Rakotomamonjy","year":"2008","unstructured":"Rakotomamonjy, A., & Guigue, V. (2008). BCI competition 3: Dataset 2\u2014ensemble of SVM for BCI P300 speller. IEEE Transactions on Biomedical Engineering, 55(3), 1147\u20131154.","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"5150_CR23","first-page":"2491","volume":"9","author":"A. Rakotomamonjy","year":"2008","unstructured":"Rakotomamonjy, A., Bach, F. R., Canu, S., & Grandvalet, Y. (2008). SimpleMKL. Journal of Machine Learning Research (JMLR), 9, 2491\u20132521.","journal-title":"Journal of Machine Learning Research (JMLR)"},{"key":"5150_CR24","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. (2001). Learning with kernels: support vector machines, regularization, optimization, and beyond. Cambridge: MIT Press."},{"key":"5150_CR25","doi-asserted-by":"crossref","first-page":"3103","DOI":"10.1155\/ASP.2005.3103","volume":"19","author":"M. Schr\u00f6der","year":"2005","unstructured":"Schr\u00f6der, M., Lal, T. N., Hinterberger, T., Bogdan, M., Hill, J., Birbaumer, N., Rosenstiel, W., & Sch\u00f6lkopf, B. (2005). Robust EEG channel selection across subjects for brain computer interfaces. EURASIP Journal on Applied Signal Processing, 19, 3103\u20133112.","journal-title":"EURASIP Journal on Applied Signal Processing"},{"key":"5150_CR26","first-page":"1531","volume":"7","author":"S. Sonnenburg","year":"2006","unstructured":"Sonnenburg, S., R\u00e4tsch, G., Sch\u00e4fer, C., & Sch\u00f6lkopf, B. (2006). Large scale multiple kernel learning. Journal of Machine Learning Research, 7, 1531\u20131565.","journal-title":"Journal of Machine Learning Research"},{"key":"5150_CR27","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1007\/11776420_15","volume-title":"19th annual conference on learning theory","author":"N. Srebro","year":"2006","unstructured":"Srebro, N., & Ben-David, S. (2006). Learning bounds for support vector machines with learned kernels. In G. Lugosi & H.-U. Simon (Eds.), 19th annual conference on learning theory (Vol. 4005, pp. 169\u2013183). Berlin: Springer."},{"key":"5150_CR28","first-page":"1457","volume-title":"Advances in neural information processing systems 20","author":"M. Szafranski","year":"2008","unstructured":"Szafranski, M., Grandvalet, Y., & Morizet-Mahoudeaux, P. (2008a). Hierarchical penalization. In J. C. Platt, D. Koller, Y. Singer, & S. Roweis (Eds.), Advances in neural information processing systems 20 (pp. 1457\u20131464). Cambridge: MIT Press."},{"key":"5150_CR29","doi-asserted-by":"crossref","first-page":"1040","DOI":"10.1145\/1390156.1390287","volume-title":"Proceedings of the 25th annual international conference on machine learning (ICML 2008)","author":"M. Szafranski","year":"2008","unstructured":"Szafranski, M., Grandvalet, Y., & Rakotomamonjy, A. (2008b). Composite kernel learning. In A. McCallum & S. Roweis (Eds.), Proceedings of the 25th annual international conference on machine learning (ICML 2008) (pp. 1040\u20131047). Eastbourne: Omnipress."},{"issue":"1","key":"5150_CR30","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","volume":"58","author":"R. Tibshirani","year":"1996","unstructured":"Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society, Series B, 58(1), 267\u2013288.","journal-title":"Journal of the Royal Statistical Society, Series B"},{"key":"5150_CR31","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":"Vapnik, V. N. (1995). The nature of statistical learning theory. New York: Springer."},{"key":"5150_CR32","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1038\/203380a0","volume":"203","author":"W. G. Walter","year":"1964","unstructured":"Walter, W. G., Cooper, R., Aldridge, V. J., McCallum, W. C., & Winter, A. L. (1964). Contingent negative variation: An electric sign of sensorimotor association and expectancy in the human brain. Nature, 203, 380\u2013384.","journal-title":"Nature"},{"key":"5150_CR33","first-page":"668","volume-title":"Advances in neural information processing systems 13","author":"J. Weston","year":"2001","unstructured":"Weston, J., Mukherjee, S., Chapelle, O., Pontil, M., Poggio, T., & Vapnik, V. (2001). Feature selection for SVMs. In T. K. Leen, T. G. Dietterich, & V. Tresp (Eds.), Advances in neural information processing systems 13 (pp. 668\u2013674). Cambridge: MIT Press."},{"key":"5150_CR34","first-page":"1825","volume-title":"Advances in neural information processing systems 21","author":"Z. Xu","year":"2009","unstructured":"Xu, Z., Jin, R., King, I., & Lyu, M. (2009). An extended level method for efficient multiple kernel learning. In D. Koller, D. Schuurmans, Y. Bengio, & L. Bottou (Eds.), Advances in neural information processing systems 21 (pp. 1825\u20131832). Cambridge: MIT Press."},{"issue":"1","key":"5150_CR35","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1111\/j.1467-9868.2005.00532.x","volume":"68","author":"M. Yuan","year":"2006","unstructured":"Yuan, M., & Lin, Y. (2006). Model selection and estimation in regression with grouped variables. Journal of the Royal Statistical Society, Series B, 68(1), 49\u201367.","journal-title":"Journal of the Royal Statistical Society, Series B"},{"issue":"6A","key":"5150_CR36","doi-asserted-by":"crossref","first-page":"3468","DOI":"10.1214\/07-AOS584","volume":"37","author":"P. Zhao","year":"2009","unstructured":"Zhao, P., Rocha, G., & Yu, B. (2009). The composite absolute penalties family for grouped and hierarchical variable selection. Annals of Statistics, 37(6A), 3468\u20133497.","journal-title":"Annals of Statistics"}],"container-title":["Machine Learning"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-009-5150-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10994-009-5150-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-009-5150-6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T19:01:36Z","timestamp":1739386896000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10994-009-5150-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,10,14]]},"references-count":36,"journal-issue":{"issue":"1-2","published-print":{"date-parts":[[2010,5]]}},"alternative-id":["5150"],"URL":"https:\/\/doi.org\/10.1007\/s10994-009-5150-6","relation":{},"ISSN":["0885-6125","1573-0565"],"issn-type":[{"value":"0885-6125","type":"print"},{"value":"1573-0565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,10,14]]}}}