{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:22:13Z","timestamp":1750306933410,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":38,"publisher":"ACM","license":[{"start":{"date-parts":[[2013,2,4]],"date-time":"2013-02-04T00:00:00Z","timestamp":1359936000000},"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":[[2013,2,4]]},"DOI":"10.1145\/2433396.2433477","type":"proceedings-article","created":{"date-parts":[[2013,2,5]],"date-time":"2013-02-05T13:19:52Z","timestamp":1360070392000},"page":"647-656","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Collective inference for network data with copula latent markov networks"],"prefix":"10.1145","author":[{"given":"Rongjing","family":"Xiang","sequence":"first","affiliation":[{"name":"Purdue University, West Lafayette, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jennifer","family":"Neville","sequence":"additional","affiliation":[{"name":"Purdue University, West Lafayette, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2013,2,4]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/1390681.1442798"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102369"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214502388618906"},{"key":"e_1_3_2_1_4_1","volume-title":"Multivariate Models and Dependence Concepts","author":"Joe H.","year":"1997","unstructured":"H. Joe . Multivariate Models and Dependence Concepts . Chapman and Hall , London , 1997 . H. Joe. Multivariate Models and Dependence Concepts. Chapman and Hall, London, 1997."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2006.10.009"},{"key":"e_1_3_2_1_6_1","volume-title":"NIPS","author":"Kirshner S.","year":"2007","unstructured":"S. Kirshner . Learning with tree-averaged densities and distributions . In NIPS , Vancouver, Canada , 2007 . S. Kirshner. Learning with tree-averaged densities and distributions. In NIPS, Vancouver, Canada, 2007."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273553"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/1046920.1194901"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1232722.1232727"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASONAM.2010.19"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/1577069.1755863"},{"key":"e_1_3_2_1_12_1","volume-title":"ICML","author":"Lu Q.","year":"2003","unstructured":"Q. Lu and L. Getoor . Link-based classification . In ICML , 2003 . Q. Lu and L. Getoor. Link-based classification. In ICML, 2003."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.21236\/ADA452802"},{"key":"e_1_3_2_1_14_1","volume-title":"Classification in networked data: A toolkit and a univariate case study. JMLR, 8(May):935--983","author":"Macskassy S.","year":"2007","unstructured":"S. Macskassy and F. Provost . Classification in networked data: A toolkit and a univariate case study. JMLR, 8(May):935--983 , 2007 . S. Macskassy and F. Provost. Classification in networked data: A toolkit and a univariate case study. JMLR, 8(May):935--983, 2007."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2008.927482"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.5555\/1248547.1248620"},{"key":"e_1_3_2_1_17_1","volume-title":"NIPS","author":"Miller K. T.","year":"2009","unstructured":"K. T. Miller , T. L. Griffiths , and M. I. Jordan . Nonparametric latent feature models for link prediction . In NIPS , 2009 . K. T. Miller, T. L. Griffiths, and M. I. Jordan. Nonparametric latent feature models for link prediction. In NIPS, 2009."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.5555\/647235.720257"},{"key":"e_1_3_2_1_19_1","first-page":"1723","volume-title":"NIPS","author":"Murray I.","year":"2010","unstructured":"I. Murray and R. P. Adams . Slice sampling covariance hyperparameters of latent Gaussian models . In NIPS , pages 1723 -- 1731 , 2010 . I. Murray and R. P. Adams. Slice sampling covariance hyperparameters of latent Gaussian models. In NIPS, pages 1723--1731, 2010."},{"key":"e_1_3_2_1_20_1","first-page":"475","article-title":"Regression and classification using gaussian process priors","volume":"6","author":"Neal R. M.","year":"1998","unstructured":"R. M. Neal . Regression and classification using gaussian process priors . Statistics , 6 : 475 -- 501 , 1998 . R. M. Neal. Regression and classification using gaussian process priors. Statistics, 6:475--501, 1998.","journal-title":"Statistics"},{"key":"e_1_3_2_1_21_1","volume-title":"Springer","author":"Nelsen R. B.","year":"2006","unstructured":"R. B. Nelsen . An Introduction to Copulas . Springer , 2006 . R. B. Nelsen. An Introduction to Copulas. Springer, 2006."},{"key":"e_1_3_2_1_22_1","first-page":"653","article-title":"Relational dependency networks","volume":"8","author":"Neville J.","year":"2007","unstructured":"J. Neville and D. Jensen . Relational dependency networks . J. Mach. Learn. Res. , 8 : 653 -- 692 , 2007 . J. Neville and D. Jensen. Relational dependency networks. J. Mach. Learn. Res., 8:653--692, 2007.","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.74.036104"},{"key":"e_1_3_2_1_24_1","volume-title":"ICML","author":"Poczos B.","year":"2012","unstructured":"B. Poczos , Z. Ghahramani , and J. Schneider . Copula-based kernel dependency measures . In ICML , 2012 . B. Poczos, Z. Ghahramani, and J. Schneider. Copula-based kernel dependency measures. In ICML, 2012."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-006-5833-1"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v29i3.2157"},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition","author":"Sudderth E. B.","year":"2003","unstructured":"E. B. Sudderth , A. T. Ihler , W. T. Freeman , and A. S. Willsky . Nonparametric belief propagation . In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition , 2003 . E. B. Sudderth, A. T. Ihler, W. T. Freeman, and A. S. Willsky. Nonparametric belief propagation. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557109"},{"key":"e_1_3_2_1_29_1","volume-title":"UAI","author":"Taskar B.","year":"2002","unstructured":"B. Taskar , P. Abbeel , and D. Koller . Discriminative probabilistic models for relational data . In UAI , 2002 . B. Taskar, P. Abbeel, and D. Koller. Discriminative probabilistic models for relational data. In UAI, 2002."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2006.70"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750541769"},{"key":"e_1_3_2_1_32_1","volume-title":"NIPS, page 11","author":"Wilson A. G.","year":"2010","unstructured":"A. G. Wilson and Z. Ghahramani . Copula Processes . In NIPS, page 11 , 2010 . A. G. Wilson and Z. Ghahramani. Copula Processes. In NIPS, page 11, 2010."},{"key":"e_1_3_2_1_33_1","volume-title":"AISTATS","author":"Xiang R.","year":"2011","unstructured":"R. Xiang and J. Neville . Relational learning with one network: An asymptotic analysis . In AISTATS , 2011 . R. Xiang and J. Neville. Relational learning with one network: An asymptotic analysis. In AISTATS, 2011."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.151"},{"key":"e_1_3_2_1_35_1","volume-title":"Rates of convergence for empirical processes of stationary mixing sequences. Ann. Probab., 22(1)","author":"Yu B.","year":"1994","unstructured":"B. Yu . Rates of convergence for empirical processes of stationary mixing sequences. Ann. Probab., 22(1) , 1994 . B. Yu. Rates of convergence for empirical processes of stationary mixing sequences. Ann. Probab., 22(1), 1994."},{"key":"e_1_3_2_1_36_1","first-page":"321","volume-title":"NIPS","author":"Zhou D.","year":"2004","unstructured":"D. Zhou , O. Bousquet , T. N. Lal , J. Weston , and B. Sch\u00f6lkopf . Learning with local and global consistency . In NIPS , pages 321 -- 328 , 2004 . D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Sch\u00f6lkopf. Learning with local and global consistency. In NIPS, pages 321--328, 2004."},{"key":"e_1_3_2_1_37_1","volume-title":"ICML'03","author":"Zhu X.","year":"2003","unstructured":"X. Zhu , Z. Ghahramani , and J. Lafferty . Semi-supervised learning using gaussian fields and harmonic functions . In ICML'03 , 2003 . X. Zhu, Z. Ghahramani, and J. Lafferty. Semi-supervised learning using gaussian fields and harmonic functions. In ICML'03, 2003."},{"key":"e_1_3_2_1_38_1","volume-title":"School of CS","author":"Zhu X.","year":"2003","unstructured":"X. Zhu , J. Lafferty , and Z. Ghahramani . Semi-supervised learning: From gaussian fields to gaussian processes. Technical report , School of CS , Carnegie Mellon University , 2003 . X. Zhu, J. Lafferty, and Z. Ghahramani. Semi-supervised learning: From gaussian fields to gaussian processes. Technical report, School of CS, Carnegie Mellon University, 2003."}],"event":{"name":"WSDM 2013: Sixth ACM International Conference on Web Search and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Rome Italy","acronym":"WSDM 2013"},"container-title":["Proceedings of the sixth ACM international conference on Web search and data mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2433396.2433477","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2433396.2433477","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T08:35:39Z","timestamp":1750235739000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2433396.2433477"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,2,4]]},"references-count":38,"alternative-id":["10.1145\/2433396.2433477","10.1145\/2433396"],"URL":"https:\/\/doi.org\/10.1145\/2433396.2433477","relation":{},"subject":[],"published":{"date-parts":[[2013,2,4]]},"assertion":[{"value":"2013-02-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}