{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:35:16Z","timestamp":1743122116065,"version":"3.40.3"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319466743"},{"type":"electronic","value":"9783319466750"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","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":[[2016]]},"DOI":"10.1007\/978-3-319-46675-0_11","type":"book-chapter","created":{"date-parts":[[2016,9,28]],"date-time":"2016-09-28T09:55:47Z","timestamp":1475056547000},"page":"96-103","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Hyper-parameter Optimization of Sticky HDP-HMM Through an Enhanced Particle Swarm Optimization"],"prefix":"10.1007","author":[{"given":"Jiaxi","family":"Li","sequence":"first","affiliation":[]},{"given":"Junfu","family":"Yin","sequence":"additional","affiliation":[]},{"given":"Yuk Ying","family":"Chung","sequence":"additional","affiliation":[]},{"given":"Feng","family":"Sha","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,9,29]]},"reference":[{"key":"11_CR1","first-page":"281","volume":"13","author":"J Bergstra","year":"2012","unstructured":"Bergstra, J., Bengio, Y.: Random search for hyper-parameter optimization. J. Mach. Learn. Res. 13, 281\u2013305 (2012)","journal-title":"J. Mach. Learn. Res."},{"unstructured":"Fox, E.B.: Bayesian nonparametric learning of complex dynamical phenomena. PhD thesis, Massachusetts Institute of Technology, September 2009","key":"11_CR2"},{"unstructured":"Fox, E.B., Sudderth, E.B., Jordan, M.I., Willsky, A.S.: The sticky HDP-HMM: Bayesian nonparametric hidden Markov models with persistent states. Arxiv preprint (2007)","key":"11_CR3"},{"doi-asserted-by":"crossref","unstructured":"Fox, E.B., Sudderth, E.B., Jordan, M.I., Willsky, A.S.: An HDP-HMM for systems with state persistence. In: Proceedings of the 25th International Conference on Machine Learning, pp. 312\u2013319. ACM (2008)","key":"11_CR4","DOI":"10.1145\/1390156.1390196"},{"doi-asserted-by":"crossref","unstructured":"Fox, E.B., Sudderth, E.B., Jordan, M.I., Willsky, A.S.: A sticky HDP-HMM with application to speaker diarization. ArXiv e-prints, May 2011","key":"11_CR5","DOI":"10.1214\/10-AOAS395"},{"unstructured":"Kivinen, J.J., Sudderth, E.B., Jordan, M.I.: Learning multiscale representations of natural scenes using Dirichlet processes. In: IEEE 11th International Conference on Computer Vision, 2007. ICCV 2007, pp. 1\u20138. IEEE (2007)","key":"11_CR6"},{"doi-asserted-by":"crossref","unstructured":"Tenorth, M., Bandouch, J., Beetz, M.: The TUM kitchen data set of everyday manipulation activities for motion tracking and action recognition. In: IEEE International Workshop on Tracking Humans for the Evaluation of their Motion in Image Sequences (THEMIS), in conjunction with ICCV 2009 (2009)","key":"11_CR7","DOI":"10.1109\/ICCVW.2009.5457583"},{"issue":"3","key":"11_CR8","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1214\/07-BA220","volume":"2","author":"EP Xing","year":"2007","unstructured":"Xing, E.P., Sohn, K.-A., et al.: Hidden Markov Dirichlet process: modeling genetic inference in open ancestral space. Bayesian Anal. 2(3), 501\u2013527 (2007)","journal-title":"Bayesian Anal."},{"doi-asserted-by":"crossref","unstructured":"Xue, L., Yin, J., Ji, Z., Jiang, L.: A particle swarm optimization for hidden Markov model training. In: 8th International Conference on Signal Processing, vol. 1. IEEE (2006)","key":"11_CR9","DOI":"10.1109\/ICOSP.2006.345542"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46675-0_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T01:19:26Z","timestamp":1558315166000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-46675-0_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319466743","9783319466750"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46675-0_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"29 September 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kyoto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}