{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T13:01:20Z","timestamp":1791291680030,"version":"4.1.0"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319244853","type":"print"},{"value":"9783319244860","type":"electronic"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-24486-0_13","type":"book-chapter","created":{"date-parts":[[2015,10,3]],"date-time":"2015-10-03T17:20:50Z","timestamp":1443892850000},"page":"194-208","source":"Crossref","is-referenced-by-count":8,"title":["Multi-task and Lifelong Learning of Kernels"],"prefix":"10.1007","author":[{"given":"Anastasia","family":"Pentina","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shai","family":"Ben-David","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2015,10,31]]},"reference":[{"key":"13_CR1","unstructured":"Kloft, M., Blanchard, G.: On the convergence rate of lp-norm multiple kernel learning. Journal of Machine Learning Research (2012)"},{"key":"13_CR2","unstructured":"Cortes, C., Mohri, M., Rostamizadeh, A.: Generalization bounds for learning kernels. In: Proceedings of the International Conference on Machine Learning (2010)"},{"key":"13_CR3","unstructured":"Ying, Y., Campbell, C.: Generalization bounds for learning the kernel. In: Proceedings of the Workshop on Computational Learning Theory (2009)"},{"key":"13_CR4","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/11776420_15","volume-title":"Learning Theory","author":"N Srebro","year":"2006","unstructured":"Srebro, N., Ben-David, S.: Learning bounds for support vector machines with learned kernels. In: Lugosi, G., Simon, H.U. (eds.) COLT 2006. LNCS (LNAI), vol. 4005, pp. 169\u2013183. Springer, Heidelberg (2006)"},{"key":"13_CR5","doi-asserted-by":"publisher","first-page":"1721","DOI":"10.1109\/18.623181","volume":"43","author":"PL Bartlett","year":"1997","unstructured":"Bartlett, P.L., Kulkarni, S.R., Posner, S.E.: Covering Numbers for Real-Valued Function Classes. IEEE Transactions on Information Theory 43, 1721\u20131724 (1997)","journal-title":"IEEE Transactions on Information Theory"},{"key":"13_CR6","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1613\/jair.731","volume":"12","author":"J Baxter","year":"2000","unstructured":"Baxter, J.: A Model of Inductive Bias Learning. Journal of Artificial Intelligence Research 12, 149\u2013198 (2000)","journal-title":"Journal of Artificial Intelligence Research"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Evgeniou, T., Pontil, M.: Regularized multi-task learning. In: Proceedings of the International Conference on Knowledge Discovery and Data Mining (2004)","DOI":"10.1145\/1014052.1014067"},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Anthony, M., Bartlett, P.L.: Neural Network Learning: Theoretical Foundations. Cambridge University Press (1999)","DOI":"10.1017\/CBO9780511624216"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Argyriou, A., Evgeniou, T., Pontil, M.: Convex Multi-task Feature Learning. Machine Learning 73 (2008)","DOI":"10.2139\/ssrn.1031158"},{"key":"13_CR10","unstructured":"Kumar, A., Daum\u00e9 III, H.: Learning task grouping and overlap in multi-task learning. In: Proceedings of the International Conference on Machine Learning (2012)"},{"key":"13_CR11","unstructured":"Eaton, E., Ruvolo, P.L.: ELLA: an efficient lifelong learning algorithm. In: Proceedings of the International Conference on Machine Learning (2013)"},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Jebara, T.: Multi-task feature and kernel selection for SVMs. In: Proceedings of the International Conference on Machine Learning (2004)","DOI":"10.1145\/1015330.1015426"},{"key":"13_CR13","unstructured":"Jebara, T.: Multitask Sparsity via Maximum Entropy Discrimination. Journal of Machine Learning Research (2011)"},{"key":"13_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1007\/978-3-642-24958-7_58","volume-title":"Neural Information Processing","author":"M G\u00f6nen","year":"2011","unstructured":"G\u00f6nen, M., Kandemir, M., Kaski, S.: Multitask learning using regularized multiple kernel learning. In: Lu, B.-L., Zhang, L., Kwok, J. (eds.) ICONIP 2011, Part II. LNCS, vol. 7063, pp. 500\u2013509. Springer, Heidelberg (2011)"},{"key":"13_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/978-3-540-69321-5_4","volume-title":"Pattern Recognition","author":"CH Lampert","year":"2008","unstructured":"Lampert, C.H., Blaschko, M.B.: A multiple kernel learning approach to joint multi-class object detection. In: Rigoll, G. (ed.) DAGM 2008. LNCS, vol. 5096, pp. 31\u201340. Springer, Heidelberg (2008)"},{"key":"13_CR16","doi-asserted-by":"crossref","unstructured":"Samek, W., Binder, A., Kawanabe, M.: Multi-task learning via non-sparse multiple kernel learning. In: Computer Analysis of Images and Patterns (2011)","DOI":"10.1007\/978-3-642-23672-3_41"},{"key":"13_CR17","doi-asserted-by":"crossref","unstructured":"Rakotomamonjy, A., Flamary, R., Gasso, G., Canu, S.: lp-lq penalty for sparse linear and sparse multiple kernel multi-task learning. IEEE Transactions on Neural Networks (2011)","DOI":"10.1109\/TNN.2011.2157521"},{"key":"13_CR18","unstructured":"Zhou, Y., Jin, R., Hoi, S.C.H.: Exclusive lasso for multi-task feature selection. In: Proceedings of the Conference on Uncertainty in Artificial Intelligence (2010)"},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"Maurer, A.: Transfer bounds for linear feature learning. Machine Learning 75 (2009)","DOI":"10.1007\/s10994-009-5109-7"}],"container-title":["Lecture Notes in Computer Science","Algorithmic Learning Theory"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-24486-0_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,30]],"date-time":"2019-05-30T23:34:30Z","timestamp":1559259270000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-24486-0_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319244853","9783319244860"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-24486-0_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015]]}}}