{"type":"conference","publication_status":"published","citation":{"ista":"Pentina A, Ben David S. 2015. Multi-task and lifelong learning of kernels. ALT: Algorithmic Learning Theory, LNCS, vol. 9355, 194–208.","mla":"Pentina, Anastasia, and Shai Ben David. Multi-Task and Lifelong Learning of Kernels. Vol. 9355, Springer, 2015, pp. 194–208, doi:10.1007/978-3-319-24486-0_13.","apa":"Pentina, A., & Ben David, S. (2015). Multi-task and lifelong learning of kernels (Vol. 9355, pp. 194–208). Presented at the ALT: Algorithmic Learning Theory, Banff, AB, Canada: Springer. https://doi.org/10.1007/978-3-319-24486-0_13","chicago":"Pentina, Anastasia, and Shai Ben David. “Multi-Task and Lifelong Learning of Kernels,” 9355:194–208. Springer, 2015. https://doi.org/10.1007/978-3-319-24486-0_13.","ieee":"A. Pentina and S. Ben David, “Multi-task and lifelong learning of kernels,” presented at the ALT: Algorithmic Learning Theory, Banff, AB, Canada, 2015, vol. 9355, pp. 194–208.","short":"A. Pentina, S. Ben David, in:, Springer, 2015, pp. 194–208.","ama":"Pentina A, Ben David S. Multi-task and lifelong learning of kernels. In: Vol 9355. Springer; 2015:194-208. doi:10.1007/978-3-319-24486-0_13"},"day":"01","publist_id":"5430","volume":9355,"publisher":"Springer","quality_controlled":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","project":[{"name":"Lifelong Learning of Visual Scene Understanding","_id":"2532554C-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","grant_number":"308036"}],"ec_funded":1,"page":"194 - 208","author":[{"id":"42E87FC6-F248-11E8-B48F-1D18A9856A87","last_name":"Pentina","full_name":"Pentina, Anastasia","first_name":"Anastasia"},{"last_name":"Ben David","full_name":"Ben David, Shai","first_name":"Shai"}],"language":[{"iso":"eng"}],"status":"public","alternative_title":["LNCS"],"corr_author":"1","oa":1,"oa_version":"Preprint","month":"01","scopus_import":1,"doi":"10.1007/978-3-319-24486-0_13","date_created":"2018-12-11T11:53:35Z","main_file_link":[{"open_access":"1","url":"http://arxiv.org/abs/1602.06531"}],"_id":"1706","year":"2015","date_updated":"2024-10-09T20:56:19Z","department":[{"_id":"ChLa"}],"date_published":"2015-01-01T00:00:00Z","conference":{"end_date":"2015-10-06","start_date":"2015-10-04","location":"Banff, AB, Canada","name":"ALT: Algorithmic Learning Theory"},"title":"Multi-task and lifelong learning of kernels","intvolume":" 9355","abstract":[{"text":"We consider a problem of learning kernels for use in SVM classification in the multi-task and lifelong scenarios and provide generalization bounds on the error of a large margin classifier. Our results show that, under mild conditions on the family of kernels used for learning, solving several related tasks simultaneously is beneficial over single task learning. In particular, as the number of observed tasks grows, assuming that in the considered family of kernels there exists one that yields low approximation error on all tasks, the overhead associated with learning such a kernel vanishes and the complexity converges to that of learning when this good kernel is given to the learner.","lang":"eng"}]}