乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T21:56:43Z","timestamp":1740175003481,"version":"3.37.3"},"reference-count":22,"publisher":"Zhejiang University Press","issue":"6","license":[{"start":{"date-parts":[[2015,6,1]],"date-time":"2015-06-01T00:00:00Z","timestamp":1433116800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61170092","61133011","61103091"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Frontiers Inf Technol Electronic Eng"],"published-print":{"date-parts":[[2015,6]]},"DOI":"10.1631\/fitee.1400352","type":"journal-article","created":{"date-parts":[[2015,6,10]],"date-time":"2015-06-10T08:38:53Z","timestamp":1433925533000},"page":"457-465","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Topic modeling for large-scale text data"],"prefix":"10.1631","volume":"16","author":[{"given":"Xi-ming","family":"Li","sequence":"first","affiliation":[]},{"given":"Ji-hong","family":"Ouyang","sequence":"additional","affiliation":[]},{"given":"You","family":"Lu","sequence":"additional","affiliation":[]}],"member":"635","published-online":{"date-parts":[[2015,6,11]]},"reference":[{"issue":"2","key":"54_CR1","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1162\/089976698300017746","volume":"10","author":"S Amari","year":"1998","unstructured":"Amari, S., 1998. Natural gradient works efficiently in learning. Neur. Comput., 10(2):251\u2013276. [doi:10.1162\/089976698300017746]","journal-title":"Neur. Comput."},{"issue":"1\u20132","key":"54_CR2","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1020281327116","volume":"50","author":"C Andrieu","year":"2003","unstructured":"Andrieu, C., de Freitas, N., Doucet, A., et al., 2003. An introduction to MCMC for machine learning. Mach. Learn., 50(1\u20132):5\u201343. [doi:10.1023\/A:1020281327116]","journal-title":"Mach. Learn."},{"issue":"1","key":"54_CR3","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1137\/040615961","volume":"18","author":"D Blatt","year":"2007","unstructured":"Blatt, D., Hero, A.O., Gauchman, H., 2007. A convergent incremental gradient method with a constant step size. SIAM J. Optim., 18(1):29\u201351. [doi:10.1137\/040615961]","journal-title":"SIAM J. Optim."},{"issue":"4","key":"54_CR4","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1145\/2133806.2133826","volume":"55","author":"DM Blei","year":"2012","unstructured":"Blei, D.M., 2012. Probabilistic topic models. Commun. ACM, 55(4):77\u201384. [doi:10.1145\/2133806.2133826]","journal-title":"Commun. ACM"},{"key":"54_CR5","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I., 2003. Latent Dirichlet allocation. J. Mach. Learn. Res., 3:993\u20131022.","journal-title":"J. Mach. Learn. Res."},{"issue":"2","key":"54_CR6","first-page":"65","volume":"5","author":"KR Canini","year":"2009","unstructured":"Canini, K.R., Shi, L., Griffiths, T.L., 2009. Online inference of topics with latent Dirichlet allocation. J. Mach. Learn. Res., 5(2):65\u201372.","journal-title":"J. Mach. Learn. Res."},{"issue":"suppl1","key":"54_CR7","doi-asserted-by":"publisher","first-page":"5228","DOI":"10.1073\/pnas.0307752101","volume":"101","author":"TL Griffiths","year":"2004","unstructured":"Griffiths, T.L., Steyvers, M., 2004. Finding scientific topics. PNAS, 101(suppl 1):5228\u20135235. [doi:10.1073\/pnas.0307752101]","journal-title":"PNAS"},{"key":"54_CR8","first-page":"856","volume-title":"Advances in Neural Information Processing Systems","author":"M Hoffman","year":"2010","unstructured":"Hoffman, M., Bach, F.R., Blei, D.M., 2010. Online learning for latent Dirichlet allocation. Advances in Neural Information Processing Systems, p.856\u2013864."},{"issue":"1","key":"54_CR9","first-page":"1303","volume":"14","author":"M Hoffman","year":"2013","unstructured":"Hoffman, M., Blei, D.M., Wang, C., et al., 2013. Stochastic variational inference. J. Mach. Learn. Res., 14(1): 1303\u20131347.","journal-title":"J. Mach. Learn. Res."},{"issue":"3","key":"54_CR10","volume":"2","year":"2011","unstructured":"Liu, Z., Zhang, Y., Chang, E.Y., et al., 2011. PLDA+: parallel latent Dirichlet allocation with data placement and pipeline processing. ACM Trans. Intell. Syst. Technol., 2(3), Article 26.","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"54_CR11","first-page":"1801","volume":"10","author":"D Newman","year":"2009","unstructured":"Newman, D., Asuncion, A., Smyth, P., et al., 2009. Distributed algorithms for topic models. J. Mach. Learn. Res., 10:1801\u20131828.","journal-title":"J. Mach. Learn. Res."},{"key":"54_CR12","first-page":"1075","volume-title":"Proc. 21st European Conf. on Artificial Intelligence","author":"J Ouyang","year":"2014","unstructured":"Ouyang, J., Lu, Y., Li, X., 2014. Momentum online LDA for large-scale datasets. Proc. 21st European Conf. on Artificial Intelligence, p.1075\u20131076."},{"key":"54_CR13","first-page":"3102","volume-title":"Advances in Neural Information Processing Systems","author":"S Patterson","year":"2013","unstructured":"Patterson, S., Teh, Y.W., 2013. Stochastic gradient Riemannian Langevin dynamics on the probability simplex. Advances in Neural Information Processing Systems, p.3102\u20133110."},{"issue":"2","key":"54_CR14","first-page":"298","volume":"28","author":"R Ranganath","year":"2013","unstructured":"Ranganath, R., Wang, C., Blei, D.M., et al., 2013. An adaptive learning rate for stochastic variational inferencen. J. Mach. Learn. Res., 28(2):298\u2013306.","journal-title":"J. Mach. Learn. Res."},{"key":"54_CR15","volume-title":"No more pesky learning rates","author":"T Schaul","year":"2013","unstructured":"Schaul, T., Zhang, S., LeCun, Y., 2013. No more pesky learning rates. arXiv preprint, arXiv:1206:1106v2."},{"key":"54_CR16","first-page":"479","volume-title":"Proc. 11th ACM SIGKDD Int. Conf. on Knowledge Discovery in Data Mining","author":"X Song","year":"2005","unstructured":"Song, X., Lin, C.Y., Tseng, B.L., et al., 2005. Modeling and predicting personal information dissemination behavior. Proc. 11th ACM SIGKDD Int. Conf. on Knowledge Discovery in Data Mining, p.479\u2013488. [doi:10.1145\/1081870.1081925]"},{"key":"54_CR17","volume-title":"Convergence rate of stochastic gradient search in the case of multiple and non-isolated minima","author":"VB Tadi\u0107","year":"2009","unstructured":"Tadi\u0107, V.B., 2009. Convergence rate of stochastic gradient search in the case of multiple and non-isolated minima. arXiv preprint, arXiv:0904.4229v2."},{"key":"54_CR18","first-page":"1353","volume-title":"Advances in Neural Information Processing Systems","author":"YW Teh","year":"2007","unstructured":"Teh, Y.W., Newman, D., Welling, M., 2007. A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation. Advances in Neural Information Processing Systems, p.1353\u20131360."},{"key":"54_CR19","first-page":"181","volume-title":"Advances in Neural Information Processing Systems","author":"C Wang","year":"2013","unstructured":"Wang, C., Chen, X., Smola, A.J., et al., 2013. Variance reduction for stochastic gradient optimization. Advances in Neural Information Processing Systems, p.181\u2013189."},{"key":"54_CR20","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1007\/978-3-642-02158-9_26","volume-title":"Proc. 5th Int. Conf. on Algorithmic Aspects in Information and Management","author":"Y Wang","year":"2009","unstructured":"Wang, Y., Bai, H., Stanton, M., et al., 2009. PLDA: parallel latent Dirichlet allocation for large-scale applications. Proc. 5th Int. Conf. on Algorithmic Aspects in Information and Management, p.301\u2013314. [doi:10.1007\/978-3-642-02158-9_26]"},{"key":"54_CR21","first-page":"2134","volume-title":"Advances in Neural Information Processing Systems","author":"F Yan","year":"2009","unstructured":"Yan, F., Xu, N., Qi, Y., 2009. Parallel inference for latent Dirichlet allocation on graphics processing units. Advances in Neural Information Processing Systems, p.2134\u20132142."},{"issue":"5","key":"54_CR22","doi-asserted-by":"publisher","first-page":"526","DOI":"10.1007\/s11704-013-2360-7","volume":"7","author":"Y Ye","year":"2013","unstructured":"Ye, Y., Gong, S., Liu, C., et al., 2013. Online belief propagation algorithm for probabilistic latent semantic analysis. Front. Comput. Sci., 7(5):526\u2013535. [doi:10.1007\/s11704-013-2360-7]","journal-title":"Front. Comput. Sci."}],"container-title":["Frontiers of Information Technology & Electronic Engineering"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1631\/FITEE.1400352\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1631\/FITEE.1400352.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1631\/FITEE.1400352.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1631\/FITEE.1400352","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,4]],"date-time":"2019-06-04T00:50:09Z","timestamp":1559609409000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1631\/FITEE.1400352"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6]]},"references-count":22,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2015,6]]}},"alternative-id":["54"],"URL":"https:\/\/doi.org\/10.1631\/fitee.1400352","relation":{},"ISSN":["2095-9184","2095-9230"],"issn-type":[{"type":"print","value":"2095-9184"},{"type":"electronic","value":"2095-9230"}],"subject":[],"published":{"date-parts":[[2015,6]]}}}