{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:56:24Z","timestamp":1743137784030,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319912523"},{"type":"electronic","value":"9783319912530"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-91253-0_59","type":"book-chapter","created":{"date-parts":[[2018,5,10]],"date-time":"2018-05-10T14:55:13Z","timestamp":1525964113000},"page":"633-644","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Boost Multi-class sLDA Model for Text Classification"],"prefix":"10.1007","author":[{"given":"Maciej","family":"Jankowski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,5,11]]},"reference":[{"issue":"1","key":"59_CR1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"AP Dempster","year":"1977","unstructured":"Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Ser. B (Methodol.) 39(1), 1\u201338 (1977)","journal-title":"J. R. Stat. Soc. Ser. B (Methodol.)"},{"key":"59_CR2","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1006\/jcss.1997.1504","volume":"55","author":"Y Freund","year":"1997","unstructured":"Freund, Y., Schapire, R.: A decision-theoretic generalization of online learning and an application to boosting. J. Comput. Syst. Sci. 55, 119\u2013139 (1997)","journal-title":"J. Comput. Syst. Sci."},{"issue":"4","key":"59_CR3","doi-asserted-by":"publisher","first-page":"1151","DOI":"10.1214\/aos\/1176346785","volume":"12","author":"D Rubin","year":"1984","unstructured":"Rubin, D.: Bayesianly justifiable and relevant frequency calculations for the applied statistician. Ann. Stat. 12(4), 1151\u20131172 (1984)","journal-title":"Ann. Stat."},{"key":"59_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The Elements of Statistical Learning","author":"T Hastie","year":"2001","unstructured":"Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning. Springer, New York (2001). https:\/\/doi.org\/10.1007\/978-0-387-84858-7"},{"key":"59_CR5","first-page":"993","volume":"3","author":"D Blei","year":"2003","unstructured":"Blei, D., Ng, A., Jordan, M.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"59_CR6","doi-asserted-by":"publisher","first-page":"5228","DOI":"10.1073\/pnas.0307752101","volume":"101","author":"T Griffiths","year":"2004","unstructured":"Griffiths, T., Steyvers, M.: Finding scientific topics. Proc. Natl. Acad. Sci. 101, 5228\u20135235 (2004). https:\/\/doi.org\/10.1073\/pnas.0307752101","journal-title":"Proc. Natl. Acad. Sci."},{"key":"59_CR7","volume-title":"Pattern Recognition and Machine Learning (Information Science and Statistics)","author":"CM Bishop","year":"2006","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning (Information Science and Statistics). Springer, New York (2006)"},{"issue":"476","key":"59_CR8","doi-asserted-by":"publisher","first-page":"1566","DOI":"10.1198\/016214506000000302","volume":"101","author":"YW Teh","year":"2006","unstructured":"Teh, Y.W., Jordan, M.I., Beal, M.J., Blei, D.M.: Hierarchical Dirichlet processes. J. Am. Stat. Assoc. 101(476), 1566\u20131581 (2006)","journal-title":"J. Am. Stat. Assoc."},{"key":"59_CR9","unstructured":"Mcauliffe, J.D., Blei, D.M.: Supervised topic models. In: Advances in Neural Information Processing Systems (2008)"},{"issue":"7\u20139","key":"59_CR10","first-page":"1775","volume":"72","author":"J Cao","year":"2008","unstructured":"Cao, J., Xia, T., Li, J., Zhang, Y., Tang, S.: A density-based method for adaptive LDA model selection. Neurocomputing 72(7\u20139), 1775\u20131781 (2008). 16th European Symposium on Artificial Neural Networks","journal-title":"Neurocomputing"},{"key":"59_CR11","unstructured":"Wang, C., Blei, D., Fei-Fei, L.: Simultaneous image classification and annotation. In: Computer Vision and Pattern Recognition (2009)"},{"key":"59_CR12","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1007\/978-3-642-13657-3_43","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"R Arun","year":"2010","unstructured":"Arun, R., Suresh, V., Veni Madhavan, C.E., Narasimha Murthy, M.N.: On finding the natural number of topics with latent Dirichlet allocation: some observations. In: Zaki, M.J., Yu, J.X., Ravindran, B., Pudi, V. (eds.) PAKDD 2010. LNCS (LNAI), vol. 6118, pp. 391\u2013402. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-13657-3_43"},{"key":"59_CR13","unstructured":"Mimno, D., Blei, D.: Bayesian checking for topic models. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (2011)"},{"key":"59_CR14","doi-asserted-by":"crossref","unstructured":"Almeida, T.A., Gomez Hidalgo, J.M., Yamakami, A.: Contributions to the study of SMS spam filtering: new collection and results. In: Proceedings of the 2011 ACM Symposium on Document Engineering (DOCENG 2011), Mountain View, CA, USA (2011)","DOI":"10.1145\/2034691.2034742"},{"key":"59_CR15","doi-asserted-by":"crossref","unstructured":"Deveaud, R., Sanjuan, E., Bellot, P.: Accurate and effective latent concept modeling for ad hoc information retrieval. Revue des Sciences et Technologies de l\u2019Information - S\u00e9rie Document Num\u00e9rique, Lavoisier, 61\u201384 (2014)","DOI":"10.3166\/dn.17.1.61-84"},{"key":"59_CR16","unstructured":"Chang, J.: LDA: Collapsed Gibbs Sampling Methods for Topic Models. R package version 1.4.2 (2015). https:\/\/CRAN.R-project.org\/package=lda"},{"issue":"518","key":"59_CR17","doi-asserted-by":"publisher","first-page":"859","DOI":"10.1080\/01621459.2017.1285773","volume":"112","author":"D Blei","year":"2017","unstructured":"Blei, D., Kucukelbir, A., McAuliffe, J.: Variational inference: a review for statisticians. J. Am. Stat. Assoc. 112(518), 859\u2013877 (2017)","journal-title":"J. Am. Stat. Assoc."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-91253-0_59","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,6]],"date-time":"2024-07-06T17:40:57Z","timestamp":1720287657000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-91253-0_59"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319912523","9783319912530"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-91253-0_59","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"11 May 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAISC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence and Soft Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zakopane","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icaisc2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icaisc.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}