乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T17:33:19Z","timestamp":1732037599782},"reference-count":30,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772284 and 41571389"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1016\/j.neucom.2018.05.029","type":"journal-article","created":{"date-parts":[[2018,5,11]],"date-time":"2018-05-11T03:00:30Z","timestamp":1526007630000},"page":"115-124","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":15,"special_numbering":"C","title":["Transfer learning with partial related \u201cinstance-feature\u201d knowledge"],"prefix":"10.1016","volume":"310","author":[{"given":"Yunyun","family":"Wang","sequence":"first","affiliation":[]},{"given":"Jie","family":"Zhai","sequence":"additional","affiliation":[]},{"given":"Yun","family":"Li","sequence":"additional","affiliation":[]},{"given":"Kejia","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Hui","family":"Xue","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2018.05.029_bib0001","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1002\/sam.10099","article-title":"Exploiting associations between word clusters and document classes for cross-domain text categorization","volume":"4","author":"Zhuang","year":"2011","journal-title":"J. Stat. Anal. Data Min.: ASA Data Sci. J."},{"key":"10.1016\/j.neucom.2018.05.029_bib0002","series-title":"Proceedings of the Twenty-second AAAI Conference on Artificial Intelligence","first-page":"540","article-title":"Transferring naive Bayes classifiers for text classification","author":"Dai","year":"2007"},{"key":"10.1016\/j.neucom.2018.05.029_bib0003","series-title":"Proceeding of the Nineteenth International Conference on World Wide Web","first-page":"751","article-title":"Cross-domain sentiment classification via spectral feature alignment","author":"Pan","year":"2010"},{"key":"10.1016\/j.neucom.2018.05.029_bib0004","series-title":"Proceedings of the Twenty-fifth AAAI Conference on Artificial Intelligence","first-page":"1304","article-title":"Heterogeneous transfer learning for image classification","author":"Zhu","year":"2011"},{"key":"10.1016\/j.neucom.2018.05.029_bib0005","series-title":"Proceedings of the International Conference on Neural Information Processing Systems","first-page":"353","article-title":"Translated learning: transfer learning across different feature spaces","author":"Dai","year":"2008"},{"key":"10.1016\/j.neucom.2018.05.029_bib0006","series-title":"Proceedings of the Twenty-sixth AAAI Conference on Artificial Intelligence","first-page":"662","article-title":"Transfer learning in collaborative filtering with uncertain ratings","author":"Pan","year":"2012"},{"key":"10.1016\/j.neucom.2018.05.029_bib0007","series-title":"Proceedings of the Twenty-seventh International Conference on International Conference on Machine Learning","first-page":"159","article-title":"Transfer learning for collective link prediction in multiple heterogenous domains","author":"Cao","year":"2010"},{"key":"10.1016\/j.neucom.2018.05.029_bib0008","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","article-title":"A survey on transfer learning","volume":"22","author":"Pan","year":"2010","journal-title":"J. IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.neucom.2018.05.029_bib0009","series-title":"Proceedings of the International Conference on Neural Information Processing Systems","first-page":"601","article-title":"Correcting sample selection bias by unlabeled data","author":"Huang","year":"2006"},{"key":"10.1016\/j.neucom.2018.05.029_bib0010","first-page":"1633","article-title":"Transfer learning for reinforcement learning domains: a survey","volume":"10","author":"Taylor","year":"2009","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.neucom.2018.05.029_bib0011","series-title":"Proceedings of the Fourteenth International Conference on Machine Learning","first-page":"322","article-title":"Boosting the margin: a new explanation for the effectiveness of voting methods","author":"Schapire","year":"1997"},{"key":"10.1016\/j.neucom.2018.05.029_bib0012","series-title":"Proceedings of the Twenty-fourth International Conference on Machine Learning","first-page":"193","article-title":"Boosting for transfer learning","author":"Dai","year":"2007"},{"key":"10.1016\/j.neucom.2018.05.029_bib0013","series-title":"Proceedings of the Fourty-fifth Annual Meeting of the Association of Computational Linguistics","first-page":"256","article-title":"Frustratingly easy domain adaptation","author":"Daum\u00e9","year":"2009"},{"key":"10.1016\/j.neucom.2018.05.029_bib0014","series-title":"Proceedings of the IEEE International Conference on Computer Vision","first-page":"2200","article-title":"Transfer feature learning with joint distribution adaptation","author":"Long","year":"2013"},{"key":"10.1016\/j.neucom.2018.05.029_bib0015","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1109\/TNN.2010.2091281","article-title":"Domain adaptation via transfer component analysis","volume":"22","author":"Pan","year":"2011","journal-title":"J. IEEE Trans. Neural Netw."},{"key":"10.1016\/j.neucom.2018.05.029_bib0016","series-title":"Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"283","article-title":"Knowledge transfer via multiple model local structure mapping","author":"Gao","year":"2008"},{"key":"10.1016\/j.neucom.2018.05.029_bib0017","series-title":"Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems","first-page":"153","article-title":"Multi-task Gaussian process prediction","author":"Bonilla","year":"2007"},{"key":"10.1016\/j.neucom.2018.05.029_bib0018","series-title":"Proceedings of the Twenty-first ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"1155","article-title":"Transitive transfer learning","author":"Tan","year":"2015"},{"key":"10.1016\/j.neucom.2018.05.029_bib0019","series-title":"Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence","first-page":"3929","article-title":"Transfer learning from deep features for remote sensing and poverty mapping","author":"Xie","year":"2015"},{"key":"10.1016\/j.neucom.2018.05.029_bib0020","series-title":"Proceedings of the Thirty-first AAAI Conference on Artificial Intelligence San Francisco","first-page":"2604","article-title":"Distant domain transfer learning","author":"Tan","year":"2017"},{"key":"10.1016\/j.neucom.2018.05.029_bib0021","doi-asserted-by":"crossref","first-page":"1076","DOI":"10.1109\/TKDE.2013.111","article-title":"Adaptation regularization: a general framework for transfer learning","volume":"26","author":"Long","year":"2014","journal-title":"J. IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.neucom.2018.05.029_bib0022","series-title":"Proceedings of the Thieteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"210","article-title":"Co-clustering based classification for out-of-domain documents","author":"Dai","year":"2007"},{"key":"10.1016\/j.neucom.2018.05.029_bib0023","series-title":"Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"269","article-title":"Co-clustering documents and words using bipartite spectral graph partitioning","author":"Dhillon","year":"2001"},{"year":"1986","series-title":"Computers and Intractability: A Guide to the Theory of NP-Completeness","author":"Garey","key":"10.1016\/j.neucom.2018.05.029_bib0024"},{"key":"10.1016\/j.neucom.2018.05.029_bib0025","series-title":"Proceedings of the Eleventh European Conference on Computer Vision","first-page":"213","article-title":"Adapting visual category models to new domains","author":"Saenko","year":"2010"},{"key":"10.1016\/j.neucom.2018.05.029_bib0026","doi-asserted-by":"crossref","first-page":"1134","DOI":"10.1109\/TPAMI.2013.167","article-title":"Learning with augmented features for supervised and semi-supervised heterogeneous domain adaptation","volume":"36","author":"Li","year":"2013","journal-title":"J. IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2018.05.029_bib0027","doi-asserted-by":"crossref","first-page":"1519","DOI":"10.1109\/TKDE.2014.2373376","article-title":"Domain invariant transfer kernel learning","volume":"27","author":"Long","year":"2015","journal-title":"J. IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.neucom.2018.05.029_bib0028","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"407","article-title":"Transfer sparse coding for robust image representation","author":"Long","year":"2013"},{"key":"10.1016\/j.neucom.2018.05.029_bib0029","series-title":"Proceedings of the IEEE Computer Vision and Pattern Recognition","first-page":"1903","article-title":"Simultaneous image classification and annotation","author":"Wang","year":"2009"},{"key":"10.1016\/j.neucom.2018.05.029_bib0030","first-page":"2399","article-title":"Manifold regularization: a geometric framework for learning from labeled and unlabeled examples","volume":"7","author":"Belkin","year":"2006","journal-title":"J. Mach. Learn. Res."}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S092523121830568X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S092523121830568X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2018,8,21]],"date-time":"2018-08-21T15:23:37Z","timestamp":1534865017000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S092523121830568X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":30,"alternative-id":["S092523121830568X"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2018.05.029","relation":{},"ISSN":["0925-2312"],"issn-type":[{"type":"print","value":"0925-2312"}],"subject":[],"published":{"date-parts":[[2018,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Transfer learning with partial related \u201cinstance-feature\u201d knowledge","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2018.05.029","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2018 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}