{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T12:40:16Z","timestamp":1687783216094},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2012,10,30]],"date-time":"2012-10-30T00:00:00Z","timestamp":1351555200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Pers Ubiquit Comput"],"published-print":{"date-parts":[[2014,1]]},"DOI":"10.1007\/s00779-012-0614-2","type":"journal-article","created":{"date-parts":[[2012,10,29]],"date-time":"2012-10-29T14:32:07Z","timestamp":1351521127000},"page":"27-35","source":"Crossref","is-referenced-by-count":1,"title":["Self-taught learning via exponential family sparse coding for cost-effective patient thought record categorization"],"prefix":"10.1007","volume":"18","author":[{"given":"Hua","family":"Wang","sequence":"first","affiliation":[]},{"given":"Heng","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Monica","family":"Basco","sequence":"additional","affiliation":[]},{"given":"Molly","family":"Lopez","sequence":"additional","affiliation":[]},{"given":"Fillia","family":"Makedon","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2012,10,30]]},"reference":[{"key":"614_CR1","volume-title":"The handbook of brain theory and neural networks","author":"M Arbib","year":"2003","unstructured":"Arbib M (2003) The handbook of brain theory and neural networks. The MIT Press, Cambridge"},{"key":"614_CR2","unstructured":"Bishop C, service SO (2006) Pattern recognition and machine learning, vol 4. Springer, New York"},{"key":"614_CR3","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511801389","volume-title":"An introduction to support Vector Machines: and other kernel-based learning methods","author":"N Cristianini","year":"2000","unstructured":"Cristianini N, Shawe-Taylor J (2000) An introduction to support vector machines: and other kernel-based learning methods. Cambridge University Press, Cambridge"},{"key":"614_CR4","doi-asserted-by":"crossref","unstructured":"Dai W, Yang Q, Xue G, Yu Y (2008) Self-taught clustering. In: ICML","DOI":"10.1145\/1390156.1390182"},{"key":"614_CR5","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1007\/11494683_28","volume":"3541","author":"K Duan","year":"2005","unstructured":"Duan K, Keerthi S (2005) Which is the best multiclass SVM method? An empirical study. Multiple Classif Syst 3541:278\u2013285","journal-title":"Multiple Classifier Systems"},{"key":"614_CR6","unstructured":"Goodman J (2004) Exponential priors for maximum entropy models. In: Proceedings of the HLT-NAACL, pp 305\u2013312"},{"issue":"3","key":"614_CR7","first-page":"385","volume":"69","author":"D Hand","year":"2001","unstructured":"Hand D, Yu K (2001) Idiot\u2019s BayesNot So Stupid After All? Int Stat Rev 69(3):385\u2013398","journal-title":"International Statistical Review"},{"key":"614_CR8","doi-asserted-by":"crossref","DOI":"10.1201\/9781420075779","volume-title":"Logistic regression models","author":"J Hilbe","year":"2009","unstructured":"Hilbe J (2009) Logistic regression models. CRC Press, New York"},{"issue":"2","key":"614_CR9","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1109\/72.991427","volume":"13","author":"C Hsu","year":"2002","unstructured":"Hsu C, Lin C (2002) A comparison of methods for multiclass support vector machines. IEEE Trans Neural Netw 13(2):415\u2013425","journal-title":"IEEE Trans Neural Networks"},{"key":"614_CR10","unstructured":"Joachims T (1999) Transductive inference for text classification using support vector machines. In: International conference on machine learning, pp 200\u2013209"},{"key":"614_CR11","unstructured":"Kressel U (1999) Pairwise classification and support vector machines. Advances in kernel methods: support vector learning, pp 255\u2013268"},{"key":"614_CR12","doi-asserted-by":"crossref","unstructured":"Lee H, Battle A, Raina R, Ng A (2007) Efficient sparse coding algorithms. In: NIPS","DOI":"10.7551\/mitpress\/7503.003.0105"},{"key":"614_CR13","unstructured":"Lee H, Raina R, Teichman A, Ng A (2009) Exponential family sparse coding with applications to self-taught learning. IJCAI09,\u00a0pp 1113\u20131119"},{"key":"614_CR14","unstructured":"Liu J, Ji S, Ye J (2009) Multi-task feature learning via efficient \u21132,1-norm minimization. In: Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence, AUAI Press, Arlington, pp 339\u2013348"},{"key":"614_CR15","unstructured":"Mairal J, Bach F, Ponce J, Sapiro G, Zisserman A (2009) Supervised dictionary learning. In: NIPS, pp 1033\u20131040"},{"key":"614_CR16","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511809071","volume-title":"Introduction to information retrieval, vol. 1","author":"C Manning","year":"2008","unstructured":"Manning C, Raghavan P, Sch\u00fctze H, Corporation E (2008) Introduction to information retrieval, vol 1. Cambridge University Press, Cambridge"},{"key":"614_CR17","unstructured":"Pan S, Yang Q (2009) A survey on transfer learning. IEEE TKDE"},{"key":"614_CR18","unstructured":"Raina R (2009) Self-taught learning. PhD thesis of Stanford University"},{"key":"614_CR19","doi-asserted-by":"crossref","unstructured":"Raina R, Battle A, Lee H, Packer B, Ng A (2007) Self-taught learning: transfer learning from unlabeled data. In: ICML","DOI":"10.1145\/1273496.1273592"},{"key":"614_CR20","first-page":"759","volume":"9","author":"M Seeger","year":"2008","unstructured":"Seeger M (2008) Bayesian inference and optimal design for the sparse linear model. The Journal of Machine Learning Research 9:759\u2013813","journal-title":"The Journal of Machine Learning Research"},{"key":"614_CR21","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-540-34351-6","volume-title":"Introduction to data mining and its applications","author":"S Sumathi","year":"2006","unstructured":"Sumathi S, Sivanandam S (2006) Introduction to data mining and its applications. Springer, New York"},{"key":"614_CR22","doi-asserted-by":"crossref","unstructured":"Tibshirani R (1996) Regression shrinkage and selection via the lasso. J R Stat Soc B 58(1):267\u2013288","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"614_CR23","doi-asserted-by":"crossref","unstructured":"Ueda N, Saito K (2002) Single-shot detection of multiple categories of text using parametric mixture models. In: Proceedings of SIGKDD, pp 626\u2013631","DOI":"10.1145\/775047.775140"},{"key":"614_CR24","doi-asserted-by":"crossref","unstructured":"Wang H, Huang H, Basco M, Lopez M, Makedon F (2011) Cost effective depression patient thought record categorization via self-taught learning. In: Proceedings of the 4th international conference on pervasive technologies related to assistive environments (PETRA 2011), p 41. ACM, New York","DOI":"10.1145\/2141622.2141670"},{"key":"614_CR25","doi-asserted-by":"crossref","unstructured":"Wang H, Huang H, Nie F, Ding C (2011) Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization. In: Proceedings of the 34th international ACM SIGIR conference on research and development in Information, pp 933\u2013942. ACM, New York","DOI":"10.1145\/2009916.2010041"},{"key":"614_CR26","doi-asserted-by":"crossref","unstructured":"Wang H, Nie F, Huang H, Ding C (2011) Dyadic transfer learning for cross-domain image classification. In: IEEE international conference on computer vision (ICCV), pp 551\u2013556","DOI":"10.1109\/ICCV.2011.6126287"},{"key":"614_CR27","unstructured":"Zhu X (2006) Semi-supervised learning literature survey. Technical report, University of Wisconsin-Madison"}],"container-title":["Personal and Ubiquitous Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-012-0614-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00779-012-0614-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-012-0614-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T12:09:55Z","timestamp":1687781395000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00779-012-0614-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,10,30]]},"references-count":27,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2014,1]]}},"alternative-id":["614"],"URL":"https:\/\/doi.org\/10.1007\/s00779-012-0614-2","relation":{},"ISSN":["1617-4909","1617-4917"],"issn-type":[{"value":"1617-4909","type":"print"},{"value":"1617-4917","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,10,30]]}}}