{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T16:56:58Z","timestamp":1775235418723,"version":"3.50.1"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2015,1,30]],"date-time":"2015-01-30T00:00:00Z","timestamp":1422576000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Knowl Inf Syst"],"published-print":{"date-parts":[[2016,2]]},"DOI":"10.1007\/s10115-015-0821-z","type":"journal-article","created":{"date-parts":[[2015,1,29]],"date-time":"2015-01-29T11:22:40Z","timestamp":1422530560000},"page":"315-342","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["Multiple task transfer learning with small sample sizes"],"prefix":"10.1007","volume":"46","author":[{"given":"Budhaditya","family":"Saha","sequence":"first","affiliation":[]},{"given":"Sunil","family":"Gupta","sequence":"additional","affiliation":[]},{"given":"Dinh","family":"Phung","sequence":"additional","affiliation":[]},{"given":"Svetha","family":"Venkatesh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,1,30]]},"reference":[{"issue":"3","key":"821_CR1","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. Mach Learn 73(3):243\u2013272","journal-title":"Mach Learn"},{"key":"821_CR2","unstructured":"Argyriou A, Pontil M, Ying Y, Charles MA (2007) A spectral regularization framework for multi-task structure learning. In: Advances in neural information processing systems, pp 25\u201332"},{"key":"821_CR3","volume-title":"Pattern recognition and machine learning","author":"CM Bishop","year":"2006","unstructured":"Bishop CM, Nasrabadi NM (2006) Pattern recognition and machine learning, vol 1. Springer, New York"},{"key":"821_CR4","doi-asserted-by":"crossref","unstructured":"Blum A, Mitchell T (1998) Combining labeled and unlabeled data with co-training. In: Proceedings of the eleventh annual conference on computational learning theory. ACM, pp 92\u2013100","DOI":"10.1145\/279943.279962"},{"issue":"1","key":"821_CR5","doi-asserted-by":"crossref","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 (2011) Distributed optimization and statistical learning via the alternating direction method of multipliers. Found Trends Mach Learning 3(1):1\u2013122","journal-title":"Found Trends Mach Learning"},{"issue":"4","key":"821_CR6","doi-asserted-by":"crossref","first-page":"382","DOI":"10.1016\/j.csl.2005.05.005","volume":"20","author":"C Chelba","year":"2006","unstructured":"Chelba C, Acero A (2006) Adaptation of maximum entropy capitalizer: little data can help a lot. Comput speech Lang 20(4):382\u2013399","journal-title":"Comput speech Lang"},{"key":"821_CR7","unstructured":"Chen M, Weinberger KQ, Blitzer J (2011) Co-training for domain adaptation. In: NIPS, pp 2456\u20132464"},{"key":"821_CR8","volume-title":"Elements of information theory","author":"TM Cover","year":"2012","unstructured":"Cover TM, Thomas JA (2012) Elements of information theory. Wiley, New York"},{"key":"821_CR9","unstructured":"Daum\u00e9 III H (2009) Bayesian multitask learning with latent hierarchies. In: Proceedings of the 25th conference on uncertainty in artificial intelligence, pp 135\u2013142"},{"issue":"3","key":"821_CR10","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1109\/TNNLS.2011.2178556","volume":"23","author":"L Duan","year":"2012","unstructured":"Duan L, Xu D, Tsang IW (2012) Domain adaptation from multiple sources: a domain-dependent regularization approach. IEEE Trans Neural Netw Learn Syst 23(3):504\u2013518","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"821_CR11","unstructured":"Eaton E, Ruvolo PL (2013) Ella: an efficient lifelong learning algorithm. In: Proceedings of the 30th international conference on machine learning (ICML-13), pp 507\u2013515"},{"key":"821_CR12","unstructured":"Evgeniou A, Pontil M (2007) Multi-task feature learning. In: Advances in neural information processing systems: proceedings of the 2006 conference, vol 19. The MIT Press, p 41"},{"key":"821_CR13","doi-asserted-by":"crossref","unstructured":"Evgeniou T, Pontil M (2004) Regularized multi-task learning. In: Proceedings of the tenth ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 109\u2013117","DOI":"10.1145\/1014052.1014067"},{"key":"821_CR14","doi-asserted-by":"crossref","unstructured":"Gao J, Fan W, Jiang J, Han J (2008) Knowledge transfer via multiple model local structure mapping. In: Proceedings of the 14th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 283\u2013291","DOI":"10.1145\/1401890.1401928"},{"key":"821_CR15","doi-asserted-by":"crossref","unstructured":"Gong P, Ye J, Zhang C (2012) Robust multi-task feature learning. In: Proceedings of the 18th ACM SIGKDD. ACM, pp 895\u2013903","DOI":"10.1145\/2339530.2339672"},{"key":"821_CR16","doi-asserted-by":"crossref","unstructured":"Gupta S, Phung D, Venkatesh S (2012) A bayesian nonparametric joint factor model for learning shared and individual subspaces from multiple data sources. In: Proceedings of the SDM, pp 200\u2013211","DOI":"10.1137\/1.9781611972825.18"},{"key":"821_CR17","unstructured":"Gupta S, Phung D, Venkatesh S (2013) Factorial multi-task learning: a bayesian nonparametric approach. In: Proceedings of international conference on machine learning, pp 657\u2013665"},{"key":"821_CR18","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-21606-5","volume-title":"The elements of statistical learning","author":"T Hastie","year":"2001","unstructured":"Hastie T, Tibshirani R, Jerome J, Friedman H (2001) The elements of statistical learning, vol 1. Springer, New York"},{"key":"821_CR19","unstructured":"Jalali A, Sanghavi S, Ruan C, Ravikumar PK (2010) A dirty model for multi-task learning. In: Neural information processing systems, pp 964\u2013972"},{"key":"821_CR20","doi-asserted-by":"crossref","unstructured":"Jebara T (2004) Multi-task feature and kernel selection for SVMs. In: Proceedings of the twenty-first international conference on machine learning. ACM, p 55","DOI":"10.1145\/1015330.1015426"},{"key":"821_CR21","doi-asserted-by":"crossref","unstructured":"Ji S, Ye J (2009) An accelerated gradient method for trace norm minimization. In: Proceedings of the 26th annual international conference on machine learning. ACM, pp 457\u2013464","DOI":"10.1145\/1553374.1553434"},{"key":"821_CR22","unstructured":"Kang Z, Grauman K, Sha F (2011) Learning with whom to share in multi-task feature learning. In: Proceedings of the 28th international conference on machine learning, pp 521\u2013528"},{"key":"821_CR23","doi-asserted-by":"crossref","unstructured":"Lawrence ND, Platt JC (2004) Learning to learn with the informative vector machine. In: Proceedings of the twenty-first international conference on machine learning. ACM, p 65","DOI":"10.1145\/1015330.1015382"},{"key":"821_CR24","unstructured":"Liu J, Ji S, Ye J (2009) Multi-task feature learning via efficient l 2, 1-norm minimization. In: Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence. AUAI Press, pp 339\u2013348"},{"key":"821_CR25","doi-asserted-by":"crossref","unstructured":"Liu J, Chen J, Ye J (2009) Large-scale sparse logistic regression. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 547\u2013556","DOI":"10.1145\/1557019.1557082"},{"key":"821_CR26","unstructured":"Nemirovski A (2005) Efficient methods in convex programming. Lecture Notes. http:\/\/www2.isye.gatech.edu\/~nemirovs\/"},{"key":"821_CR27","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4419-8853-9","volume-title":"Introductory lectures on convex optimization: a basic course","author":"Y Nesterov","year":"2004","unstructured":"Nesterov Y, Nesterov UE (2004) Introductory lectures on convex optimization: a basic course, vol 87. Springer, Berlin"},{"issue":"10","key":"821_CR28","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan SJ, Yang Q (2010) A survey on transfer learning. IEEE Trans Knowl Data Eng 22(10):1345\u20131359","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"821_CR29","unstructured":"Rai P, Daume H (2010) Infinite predictor subspace models for multitask learning. In: International conference on artificial intelligence and statistics, pp 613\u2013620"},{"issue":"3","key":"821_CR30","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1109\/34.75512","volume":"13","author":"SJ Raudys","year":"1991","unstructured":"Raudys SJ, Jain AK (1991) Small sample size effects in statistical pattern recognition: recommendations for practitioners. IEEE Trans Pattern Anal Mach Intell 13(3):252\u2013264","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"821_CR31","unstructured":"Schmidt M (2010) Graphical model structure learning with l1-regularization. PhD thesis, The University of British Columbia"},{"key":"821_CR32","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. J R Stat Soc Ser B (Methodological) 58:267\u2013288","journal-title":"J R Stat Soc Ser B (Methodological)"},{"key":"821_CR33","first-page":"35","volume":"8","author":"Y Xue","year":"2007","unstructured":"Xue Y, Liao X, Carin L, Krishnapuram B (2007) Multi-task learning for classification with dirichlet process priors. J Mach Learn Res 8:35\u201363","journal-title":"J Mach Learn Res"},{"issue":"2","key":"821_CR34","doi-asserted-by":"crossref","first-page":"6:1","DOI":"10.1145\/2499907.2499909","volume":"7","author":"H Yang","year":"2013","unstructured":"Yang H, Lyu MR, King I (2013) Efficient online learning for multitask feature selection. ACM Trans Knowl Discov Data 7(2):6:1\u20136:27","journal-title":"ACM Trans Knowl Discov Data"},{"key":"821_CR35","unstructured":"Zhang Y, Yeung D-Y (2010) A convex formulation for learning task relationships in multi-task learning. In: UAI, pp 733\u2013442"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-015-0821-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10115-015-0821-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-015-0821-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,6]],"date-time":"2024-06-06T22:06:09Z","timestamp":1717711569000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10115-015-0821-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,1,30]]},"references-count":35,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2016,2]]}},"alternative-id":["821"],"URL":"https:\/\/doi.org\/10.1007\/s10115-015-0821-z","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"value":"0219-1377","type":"print"},{"value":"0219-3116","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,1,30]]}}}