{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T13:27:49Z","timestamp":1725888469568},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319594620"},{"type":"electronic","value":"9783319594637"}],"license":[{"start":{"date-parts":[[2017,5,28]],"date-time":"2017-05-28T00:00:00Z","timestamp":1495929600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-59463-7_62","type":"book-chapter","created":{"date-parts":[[2017,5,27]],"date-time":"2017-05-27T02:26:44Z","timestamp":1495852004000},"page":"618-628","source":"Crossref","is-referenced-by-count":3,"title":["LF-LDA: A Topic Model for Multi-label Classification"],"prefix":"10.1007","author":[{"given":"Yongjun","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jialin","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zijian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bolun","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,5,28]]},"reference":[{"key":"62_CR1","doi-asserted-by":"crossref","unstructured":"Tsoumakas, G., Katakis, I., Vlahavas, I.: Mining multi-label data. In: Data Mining and Knowledge Discovery Handbook, pp. 667\u2013685 (2009)","DOI":"10.1007\/978-0-387-09823-4_34"},{"issue":"7","key":"62_CR2","doi-asserted-by":"crossref","first-page":"2038","DOI":"10.1016\/j.patcog.2006.12.019","volume":"40","author":"M Zhang","year":"2007","unstructured":"Zhang, M., Zhou, Z.H.: ML-KNN: a lazy learning approach to multi-label learning. Pattern Recogn. 40(7), 2038\u20132048 (2007)","journal-title":"Pattern Recogn."},{"key":"62_CR3","unstructured":"Brinker, K., H\u00fcllermeier, E.: Case-based multilabel ranking. In: IJCAI, pp. 702\u2013707 (2007)"},{"issue":"2\u20133","key":"62_CR4","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1023\/A:1007649029923","volume":"39","author":"RE Schapire","year":"2000","unstructured":"Schapire, R.E., Singer, Y.: BoosTexter: a boosting-based system for text categorization. Mach. Learn. 39(2\u20133), 135\u2013168 (2000)","journal-title":"Mach. Learn."},{"key":"62_CR5","doi-asserted-by":"crossref","unstructured":"Elisseeff, A., Weston, J.: A kernel method for multi-labelled classification. In: NIPS, vol. 14 (2001)","DOI":"10.7551\/mitpress\/1120.003.0092"},{"issue":"10","key":"62_CR6","doi-asserted-by":"crossref","first-page":"1338","DOI":"10.1109\/TKDE.2006.162","volume":"18","author":"M-L Zhang","year":"2006","unstructured":"Zhang, M.-L., Zhou, Z.-H.: Multilabel neural networks with applications to functional genomics and text categorization. IEEE Trans. Knowl. Data Eng. 18(10), 1338\u20131351 (2006)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"2","key":"62_CR7","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1007\/s11063-009-9095-3","volume":"29","author":"M-L Zhang","year":"2009","unstructured":"Zhang, M.-L.: ML-RBF: RBF neural networks for multi-label learning. Neural Process. Lett. 29(2), 61\u201374 (2009)","journal-title":"Neural Process. Lett."},{"issue":"3","key":"62_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.4018\/jdwm.2007070101","volume":"3","author":"G Tsoumakas","year":"2006","unstructured":"Tsoumakas, G., Katakis, I.: Multi-label classification: an overview. Int. J. Data Warehouse. Min. 3(3), 1\u201313 (2006)","journal-title":"Int. J. Data Warehouse. Min."},{"issue":"9","key":"62_CR9","doi-asserted-by":"crossref","first-page":"1757","DOI":"10.1016\/j.patcog.2004.03.009","volume":"37","author":"MR Boutell","year":"2004","unstructured":"Boutell, M.R., et al.: Learning multi-label scene classification. Pattern Recogn. 37(9), 1757\u20131771 (2004)","journal-title":"Pattern Recogn."},{"issue":"7","key":"62_CR10","doi-asserted-by":"crossref","first-page":"1079","DOI":"10.1109\/TKDE.2010.164","volume":"23","author":"G Tsoumakas","year":"2011","unstructured":"Tsoumakas, G., Katakis, I., Vlahavas, I.: Random k-labelsets for multilabel classification. IEEE Trans. Knowl. Data Eng. 23(7), 1079\u20131089 (2011)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"3","key":"62_CR11","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1007\/s10994-011-5256-5","volume":"85","author":"J Read","year":"2011","unstructured":"Read, J., et al.: Classifier chains for multi-label classification. Mach. Learn. 85(3), 333 (2011)","journal-title":"Mach. Learn."},{"key":"62_CR12","doi-asserted-by":"crossref","unstructured":"Zhang, M.-L., Zhang, K.: Multi-label learning by exploiting label dependency. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM (2010)","DOI":"10.1145\/1835804.1835930"},{"key":"62_CR13","unstructured":"Guo, Y., Gu, S.: Multi-label classification using conditional dependency networks. In: IJCAI Proceedings-International Joint Conference on Artificial Intelligence, vol. 22, no. 1 (2011)"},{"issue":"Jan","key":"62_CR14","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3(Jan), 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"62_CR15","unstructured":"Mcauliffe, J.D., Blei, D.M.: Supervised topic models. In: Advances in Neural Information Processing Systems (2008)"},{"key":"62_CR16","unstructured":"Lacoste-Julien, S., Sha, F., Jordan, M.I.: DiscLDA: discriminative learning for dimensionality reduction and classification. In: Advances in Neural Information Processing Systems (2009)"},{"key":"62_CR17","doi-asserted-by":"crossref","unstructured":"Zhu, J., Ahmed, A., Xing, E.P.: MedLDA: maximum margin supervised topic models for regression and classification. In: Proceedings of the 26th Annual International Conference on Machine Learning. ACM (2009)","DOI":"10.1145\/1553374.1553535"},{"key":"62_CR18","doi-asserted-by":"crossref","unstructured":"Ramage, D., et al.: Labeled LDA: a supervised topic model for credit attribution in multi-labeled corpora. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, vol. 1. Association for Computational Linguistics (2009)","DOI":"10.3115\/1699510.1699543"},{"issue":"suppl 1","key":"62_CR19","doi-asserted-by":"crossref","first-page":"5228","DOI":"10.1073\/pnas.0307752101","volume":"101","author":"TL Griffiths","year":"2004","unstructured":"Griffiths, T.L., Steyvers, M.: Finding scientific topics. Proc. Natl. Acad. Sci. 101(suppl 1), 5228\u20135235 (2004)","journal-title":"Proc. Natl. Acad. Sci."}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advances in Internetworking, Data &amp; Web Technologies"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-59463-7_62","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T11:08:38Z","timestamp":1719227318000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-59463-7_62"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,28]]},"ISBN":["9783319594620","9783319594637"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-59463-7_62","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"type":"print","value":"2367-4512"},{"type":"electronic","value":"2367-4520"}],"subject":[],"published":{"date-parts":[[2017,5,28]]}}}