{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,26]],"date-time":"2026-10-26T17:52:48Z","timestamp":1793037168205,"version":"4.5.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2007,6,20]],"date-time":"2007-06-20T00:00:00Z","timestamp":1182297600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2007,6,20]]},"DOI":"10.1145\/1273496.1273583","type":"proceedings-article","created":{"date-parts":[[2008,10,7]],"date-time":"2008-10-07T13:06:52Z","timestamp":1223384812000},"page":"689-696","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Multi-task learning for sequential data via iHMMs and the nested Dirichlet process"],"prefix":"10.1145","author":[{"given":"Kai","family":"Ni","sequence":"first","affiliation":[{"name":"Duke University, Durham, NC"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lawrence","family":"Carin","sequence":"additional","affiliation":[{"name":"Duke University, Durham, NC"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Dunson","sequence":"additional","affiliation":[{"name":"National Institute of Environmental Health Sciences, RTP, NC"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2007,6,20]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"International Symposium on Music Information Retrieval (ISMIR).","author":"Aucouturier J. J.","year":"2002","unstructured":"Aucouturier , J. J. , & Pachet , F. ( 2002 ). Music similarity measures: Whats the use? International Symposium on Music Information Retrieval (ISMIR). Aucouturier, J. J., & Pachet, F. (2002). Music similarity measures: Whats the use? International Symposium on Music Information Retrieval (ISMIR)."},{"key":"e_1_3_2_1_3_1","volume-title":"The infinite Hidden markov model. Neural Information Processing Systems","author":"Beal M. J.","year":"2002","unstructured":"Beal , M. J. , Ghahramani , Z. , & Rasmussen , C. ( 2002 ). The infinite Hidden markov model. Neural Information Processing Systems . Beal, M. J., Ghahramani, Z., & Rasmussen, C. (2002). The infinite Hidden markov model. Neural Information Processing Systems."},{"key":"e_1_3_2_1_4_1","volume-title":"Hierarchical topic models and the nested Chinese restaurant process. Neural Information Processing Systems","author":"Blei D. M.","year":"2004","unstructured":"Blei , D. M. , Griffiths , T. L. , Jordan , M. I. , & Tenenbaum , J. B. ( 2004 ). Hierarchical topic models and the nested Chinese restaurant process. Neural Information Processing Systems . Blei, D. M., Griffiths, T. L., Jordan, M. I., & Tenenbaum, J. B. (2004). Hierarchical topic models and the nested Chinese restaurant process. Neural Information Processing Systems."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007379606734"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1995.10476550"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176342360"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","DOI":"10.1201\/9780429258411","volume-title":"Bayesian data analysis","author":"Gelman A.","year":"1995","unstructured":"Gelman , A. , Carlin , J. B. , Stern , H. S. , & Rubim , D. B. (Eds.). ( 1995 ). Bayesian data analysis . Chapman and Hall . Gelman, A., Carlin, J. B., Stern, H. S., & Rubim, D. B. (Eds.). (1995). Bayesian data analysis. Chapman and Hall."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214501750332758"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCOM.1980.1094577"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2001.1237829"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.18626"},{"key":"e_1_3_2_1_13_1","first-page":"763","article-title":"How many iterations in the Gibbs sampler","volume":"4","author":"Raftery A. E.","year":"1992","unstructured":"Raftery , A. E. , & Lewis , S. M. ( 1992 ). How many iterations in the Gibbs sampler ? Bayesian Statistics , 4 , 763 -- 773 . Raftery, A. E., & Lewis, S. M. (1992). How many iterations in the Gibbs sampler? Bayesian Statistics, 4, 763--773.","journal-title":"Bayesian Statistics"},{"key":"e_1_3_2_1_14_1","volume-title":"The infinite Gaussian mixture model. Neural Information Processing Systems","author":"Rasmussen C.","year":"2000","unstructured":"Rasmussen , C. ( 2000 ). The infinite Gaussian mixture model. Neural Information Processing Systems . Rasmussen, C. (2000). The infinite Gaussian mixture model. Neural Information Processing Systems."},{"key":"e_1_3_2_1_15_1","article-title":"The nested Dirichlet process","author":"Rodriguez A.","year":"2006","unstructured":"Rodriguez , A. , Dunson , D. B. , & Gelfang , A. E. ( 2006 ). The nested Dirichlet process . Journal of the American Statistical Association, submitted. Rodriguez, A., Dunson, D. B., & Gelfang, A. E. (2006). The nested Dirichlet process. Journal of the American Statistical Association, submitted.","journal-title":"Journal of the American Statistical Association, submitted."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/78.771050"},{"key":"e_1_3_2_1_17_1","first-page":"639","article-title":"A constructive definition of Dirichlet priors","volume":"4","author":"Sethuraman J.","year":"1994","unstructured":"Sethuraman , J. ( 1994 ). A constructive definition of Dirichlet priors . Statistica Sinica , 4 , 639 -- 650 . Sethuraman, J. (1994). A constructive definition of Dirichlet priors. Statistica Sinica, 4, 639--650.","journal-title":"Statistica Sinica"},{"key":"e_1_3_2_1_18_1","volume-title":"Hidden Markov model induction by Bayesian model merging. Advances in Neural Information Processing Systems","author":"Stolcke A.","year":"1993","unstructured":"Stolcke , A. , & Omohundro , S. ( 1993 ). Hidden Markov model induction by Bayesian model merging. Advances in Neural Information Processing Systems . Stolcke, A., & Omohundro, S. (1993). Hidden Markov model induction by Bayesian model merging. Advances in Neural Information Processing Systems."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214506000000302"},{"key":"e_1_3_2_1_20_1","volume-title":"The 13th International Conference on Machine Learning.","author":"Thurn S.","year":"1996","unstructured":"Thurn , S. , & O'Sullivan , J. ( 1996 ). Discovering structure in multiple learning tasks: The TC algorithm . The 13th International Conference on Machine Learning. Thurn, S., & O'Sullivan, J. (1996). Discovering structure in multiple learning tasks: The TC algorithm. The 13th International Conference on Machine Learning."},{"key":"e_1_3_2_1_21_1","article-title":"Multi-task learning for classification with Dirichlet process priors","author":"Xue Y.","year":"2007","unstructured":"Xue , Y. , Liao , X. , Carin , L. , & Krishnapuram , B. ( 2007 ). Multi-task learning for classification with Dirichlet process priors . Journal of Machine Learning Research , Jan. , 35--63. Xue, Y., Liao, X., Carin, L., & Krishnapuram, B. (2007). Multi-task learning for classification with Dirichlet process priors. Journal of Machine Learning Research, Jan., 35--63.","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"ICML '07 & ILP '07: The 24th Annual International Conference on Machine Learning held in conjunction with the 2007 International Conference on Inductive Logic Programming","location":"Corvalis Oregon USA","acronym":"ICML '07 & ILP '07","sponsor":["Machine Learning Journal"]},"container-title":["Proceedings of the 24th international conference on Machine learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1273496.1273583","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1273496.1273583","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T14:58:01Z","timestamp":1750258681000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1273496.1273583"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,6,20]]},"references-count":20,"alternative-id":["10.1145\/1273496.1273583","10.1145\/1273496"],"URL":"https:\/\/doi.org\/10.1145\/1273496.1273583","relation":{},"subject":[],"published":{"date-parts":[[2007,6,20]]},"assertion":[{"value":"2007-06-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}