{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T23:03:50Z","timestamp":1743030230420,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319235240"},{"type":"electronic","value":"9783319235257"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-23525-7_8","type":"book-chapter","created":{"date-parts":[[2015,8,28]],"date-time":"2015-08-28T08:20:13Z","timestamp":1440750013000},"page":"120-136","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Multi-Task Learning with Group-Specific Feature Space Sharing"],"prefix":"10.1007","author":[{"given":"Niloofar","family":"Yousefi","sequence":"first","affiliation":[]},{"given":"Michael","family":"Georgiopoulos","sequence":"additional","affiliation":[]},{"given":"Georgios C.","family":"Anagnostopoulos","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,8,29]]},"reference":[{"key":"8_CR1","unstructured":"Argyriou, A., Cl\u00e9men\u00e7on, S., Zhang, R.: Learning the graph of relations among multiple tasks. In: ICML 2014 workshop on New Learning Frameworks and Models for Big Data (2013)"},{"issue":"3","key":"8_CR2","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/s10994-007-5040-8","volume":"73","author":"A Argyriou","year":"2008","unstructured":"Argyriou, A., Evgeniou, T., Pontil, M.: Convex multi-task feature learning. Machine Learning 73(3), 243\u2013272 (2008)","journal-title":"Machine Learning"},{"key":"8_CR3","first-page":"83","volume":"4","author":"B Bakker","year":"2003","unstructured":"Bakker, B., Heskes, T.: Task clustering and gating for bayesian multitask learning. The Journal of Machine Learning Research 4, 83\u201399 (2003)","journal-title":"The Journal of Machine Learning Research"},{"key":"8_CR4","first-page":"463","volume":"3","author":"PL Bartlett","year":"2003","unstructured":"Bartlett, P.L., Mendelson, S.: Rademacher and gaussian complexities: Risk bounds and structural results. The Journal of Machine Learning Research 3, 463\u2013482 (2003)","journal-title":"The Journal of Machine Learning Research"},{"issue":"3","key":"8_CR5","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1006\/jath.1994.1136","volume":"79","author":"H Bauschke","year":"1994","unstructured":"Bauschke, H., Borwein, J.M.: Dykstra\u2019s alternating projection algorithm for two sets. Journal of Approximation Theory 79(3), 418\u2013443 (1994)","journal-title":"Journal of Approximation Theory"},{"issue":"1","key":"8_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000016","volume":"3","author":"S Boyd","year":"2011","unstructured":"Boyd, S., Parikh, N., Chu, E., Peleato, B., Eckstein, J.: Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends in Machine Learning 3(1), 1\u2013122 (2011)","journal-title":"Foundations and Trends in Machine Learning"},{"issue":"1","key":"8_CR7","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1023\/A:1007379606734","volume":"28","author":"R Caruana","year":"1997","unstructured":"Caruana, R.: Multitask learning. Machine Learning 28(1), 41\u201375 (1997)","journal-title":"Machine Learning"},{"key":"8_CR8","unstructured":"Chang, C.C., Lin, C.J.: LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology 2, 27:1\u201327:27 (2011). http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm"},{"key":"8_CR9","unstructured":"Cortes, C., Mohri, M., Rostamizadeh, A.: Generalization bounds for learning kernels. In: Proceedings of the 27th International Conference on Machine Learning (ICML 2010), pp. 247\u2013254 (2010)"},{"key":"8_CR10","first-page":"1","volume":"7","author":"J Dem\u0161ar","year":"2006","unstructured":"Dem\u0161ar, J.: Statistical comparisons of classifiers over multiple data sets. The Journal of Machine Learning Research 7, 1\u201330 (2006)","journal-title":"The Journal of Machine Learning Research"},{"issue":"384","key":"8_CR11","doi-asserted-by":"publisher","first-page":"837","DOI":"10.1080\/01621459.1983.10477029","volume":"78","author":"RL Dykstra","year":"1983","unstructured":"Dykstra, R.L.: An algorithm for restricted least squares regression. Journal of the American Statistical Association 78(384), 837\u2013842 (1983)","journal-title":"Journal of the American Statistical Association"},{"key":"8_CR12","first-page":"41","volume":"19","author":"A Evgeniou","year":"2007","unstructured":"Evgeniou, A., Pontil, M.: Multi-task feature learning. Advances in Neural Information Processing Systems 19, 41 (2007)","journal-title":"Advances in Neural Information Processing Systems"},{"key":"8_CR13","unstructured":"Evgeniou, T., Micchelli, C.A., Pontil, M.: Learning multiple tasks with kernel methods. Journal of Machine Learning Research, 615\u2013637 (2005)"},{"key":"8_CR14","unstructured":"Frank, A., Asuncion, A.: UCI machine learning repository (2010). http:\/\/archive.ics.uci.edu\/ml"},{"key":"8_CR15","unstructured":"Gu, Q., Li, Z., Han, J.: Joint feature selection and subspace learning. In: IJCAI Proceedings-International Joint Conference on Artificial Intelligence, vol. 22, p. 1294 (2011)"},{"key":"8_CR16","doi-asserted-by":"crossref","unstructured":"Han, L., Zhang, Y.: Learning multi-level task groups in multi-task learning. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI) (2015)","DOI":"10.1609\/aaai.v29i1.9581"},{"key":"8_CR17","unstructured":"Jacob, L., Vert, J.p., Bach, F.R.: Clustered multi-task learning: a convex formulation. In: Advances in Neural Information Processing Systems, pp. 745\u2013752 (2009)"},{"key":"8_CR18","unstructured":"Jalali, A., Sanghavi, S., Ruan, C., Ravikumar, P.K.: A dirty model for multi-task learning. In: Advances in Neural Information Processing Systems, pp. 964\u2013972 (2010)"},{"key":"8_CR19","unstructured":"Kang, Z., Grauman, K., Sha, F.: Learning with whom to share in multi-task feature learning. In: Proceedings of the 28th International Conference on Machine Learning (ICML 2011), pp. 521\u2013528 (2011)"},{"key":"8_CR20","first-page":"953","volume":"12","author":"M Kloft","year":"2011","unstructured":"Kloft, M., Brefeld, U., Sonnenburg, S., Zien, A.: Lp-norm multiple kernel learning. The Journal of Machine Learning Research 12, 953\u2013997 (2011)","journal-title":"The Journal of Machine Learning Research"},{"key":"8_CR21","first-page":"27","volume":"5","author":"GR Lanckriet","year":"2004","unstructured":"Lanckriet, G.R., Cristianini, N., Bartlett, P., Ghaoui, L.E., Jordan, M.I.: Learning the kernel matrix with semidefinite programming. The Journal of Machine Learning Research 5, 27\u201372 (2004)","journal-title":"The Journal of Machine Learning Research"},{"key":"8_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1007\/978-3-662-44851-9_13","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"C Li","year":"2014","unstructured":"Li, C., Georgiopoulos, M., Anagnostopoulos, G.C.: Conic multi-task classification. In: Calders, T., Esposito, F., H\u00fcllermeier, E., Meo, R. (eds.) ECML PKDD 2014, Part II. LNCS, vol. 8725, pp. 193\u2013208. Springer, Heidelberg (2014)"},{"issue":"1","key":"8_CR23","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1109\/TNNLS.2014.2309939","volume":"26","author":"C Li","year":"2015","unstructured":"Li, C., Georgiopoulos, M., Anagnostopoulos, G.C.: Pareto-path multitask multiple kernel learning. IEEE Transactions on Neural Networks and Learning Systems 26(1), 51\u201361 (2015)","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"8_CR24","unstructured":"Tang, L., Chen, J., Ye, J.: On multiple kernel learning with multiple labels. In: IJCAI, pp. 1255\u20131260 (2009)"},{"key":"8_CR25","doi-asserted-by":"crossref","unstructured":"Xu, L., Huang, A., Chen, J., Chen, E.: Exploiting task-feature co-clusters in multi-task learning. In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015) (2015)","DOI":"10.1609\/aaai.v29i1.9483"},{"key":"8_CR26","first-page":"35","volume":"8","author":"Y Xue","year":"2007","unstructured":"Xue, Y., Liao, X., Carin, L., Krishnapuram, B.: Multi-task learning for classification with dirichlet process priors. The Journal of Machine Learning Research 8, 35\u201363 (2007)","journal-title":"The Journal of Machine Learning Research"},{"key":"8_CR27","unstructured":"Zhang, Y., Yeung, D.Y.: A convex formulation for learning task relationships in multi-task learning. arXiv preprint arXiv:1203.3536 (2012)"},{"issue":"3","key":"8_CR28","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1145\/2538028","volume":"8","author":"Y Zhang","year":"2014","unstructured":"Zhang, Y., Yeung, D.Y.: A regularization approach to learning task relationships in multitask learning. ACM Transactions on Knowledge Discovery from Data (TKDD) 8(3), 12 (2014)","journal-title":"ACM Transactions on Knowledge Discovery from Data (TKDD)"},{"key":"8_CR29","unstructured":"Zhong, W., Kwok, J.: Convex multitask learning with flexible task clusters. arXiv preprint arXiv:1206.4601 (2012)"},{"key":"8_CR30","unstructured":"Zhou, J., Chen, J., Ye, J.: Clustered multi-task learning via alternating structure optimization. In: Advances in Neural Information Processing Systems, pp. 702\u2013710 (2011)"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-23525-7_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,13]],"date-time":"2023-08-13T13:52:24Z","timestamp":1691934744000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-23525-7_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319235240","9783319235257"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-23525-7_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"29 August 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}