| Year |
Citation |
Score |
| 2018 |
Poon LK, Liu AH, Zhang NL. UC-LTM: Unidimensional clustering using latent tree models for discrete data International Journal of Approximate Reasoning. 92: 392-409. DOI: 10.1016/J.Ijar.2017.10.020 |
0.388 |
|
| 2017 |
Fu C, Zhang NL, Chen BX, Chen ZR, Jin XL, Guo RJ, Chen ZG, Zhang YL. Identification and classification of traditional Chinese medicine syndrome types among senior patients with vascular mild cognitive impairment using latent tree analysis. Journal of Integrative Medicine. 15: 186-200. PMID 28494849 DOI: 10.1016/S2095-4964(17)60335-2 |
0.31 |
|
| 2017 |
Zhang NL, Fu C, Liu TF, Chen BX, Poon KM, Chen PX, Zhang YL. A data-driven method for syndrome type identification and classification in traditional Chinese medicine. Journal of Integrative Medicine. 15: 110-123. PMID 28285616 DOI: 10.1016/S2095-4964(17)60328-5 |
0.553 |
|
| 2017 |
Chen P, Zhang NL, Liu T, Poon LK, Chen Z, Khawar F. Latent tree models for hierarchical topic detection Artificial Intelligence. 250: 105-124. DOI: 10.1016/J.Artint.2017.06.004 |
0.369 |
|
| 2014 |
Zhao Y, Zhang NL, Wang T, Wang Q. Discovering symptom co-occurrence patterns from 604 cases of depressive patient data using latent tree models. Journal of Alternative and Complementary Medicine (New York, N.Y.). 20: 265-71. PMID 24444096 DOI: 10.1089/Acm.2013.0178 |
0.306 |
|
| 2014 |
Liu AH, Poon LKM, Liu TF, Zhang NL. Latent tree models for rounding in spectral clustering Neurocomputing. 144: 448-462. DOI: 10.1016/J.Neucom.2014.04.030 |
0.363 |
|
| 2014 |
Zhao Y, Zhang NL, Wang T, Wang Q, Liu T. Statistical validation of TCM syndrome postulates in the context of depressive patients Data Analytics For Traditional Chinese Medicine Research. 2147483647: 111-121. DOI: 10.1007/978-3-319-03801-8_6 |
0.348 |
|
| 2013 |
Mourad R, Sinoquet C, Zhang NL, Liu T, Leray P. A survey on latent tree models and applications Journal of Artificial Intelligence Research. 47: 157-203. DOI: 10.1613/Jair.3879 |
0.388 |
|
| 2013 |
Poon LKM, Zhang NL, Liu T, Liu AH. Model-based clustering of high-dimensional data: Variable selection versus facet determination International Journal of Approximate Reasoning. 54: 196-215. DOI: 10.1016/J.Ijar.2012.08.001 |
0.341 |
|
| 2013 |
Wang Y, Zhang NL, Chen T, Poon LKM. LTC: A latent tree approach to classification International Journal of Approximate Reasoning. 54: 560-572. DOI: 10.1016/J.Ijar.2012.06.024 |
0.399 |
|
| 2013 |
Liu TF, Zhang NL, Chen P, Liu AH, Poon LKM, Wang Y. Greedy learning of latent tree models for multidimensional clustering Machine Learning. 98: 301-330. DOI: 10.1007/S10994-013-5393-0 |
0.399 |
|
| 2012 |
Chen T, Zhang NL, Liu T, Poon KM, Wang Y. Model-based multidimensional clustering of categorical data Artificial Intelligence. 176: 2246-2269. DOI: 10.1016/J.Artint.2011.09.003 |
0.319 |
|
| 2011 |
Chen T, Zhang NL, Wang Y. The role of operation granularity in search-based learning of latent tree models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6797: 219-231. DOI: 10.1007/978-3-642-25655-4_20 |
0.306 |
|
| 2008 |
Zhang NL, Yuan S, Chen T, Wang Y. Statistical validation of traditional chinese medicine theories. Journal of Alternative and Complementary Medicine (New York, N.Y.). 14: 583-7. PMID 18554082 DOI: 10.1089/Acm.2007.7019 |
0.314 |
|
| 2008 |
Wang Y, Zhang NL, Chen T. Latent tree models and approximate inference in Bayesian networks Journal of Artificial Intelligence Research. 32: 879-900. DOI: 10.1613/Jair.2530 |
0.382 |
|
| 2008 |
Zhang NL, Wang Y, Chen T. Discovery of latent structures: Experience with the CoIL Challenge 2000 data set Journal of Systems Science and Complexity. 21: 172-183. DOI: 10.1007/S11424-008-9101-2 |
0.386 |
|
| 2005 |
Zhang W, Zhang NL. Restricted value iteration: Theory and algorithms Journal of Artificial Intelligence Research. 23: 123-165. DOI: 10.1613/Jair.1379 |
0.451 |
|
| 2004 |
Zhang NL, Nielsen TD, Jensen FV. Latent variable discovery in classification models. Artificial Intelligence in Medicine. 30: 283-99. PMID 15081076 DOI: 10.1016/J.Artmed.2003.11.004 |
0.323 |
|
| 2004 |
Zhang NL, Kočka T. Effective dimensions of hierarchical latent class models Journal of Artificial Intelligence Research. 21: 1-17. DOI: 10.1613/Jair.1311 |
0.337 |
|
| 2003 |
Poole D, Zhang NL. Exploiting contextual independence in probabilistic inference Journal of Artificial Intelligence Research. 18: 263-313. DOI: 10.1613/Jair.1122 |
0.36 |
|
| 2003 |
Kočka T, Zhang NL. Effective dimensions of partially observed polytrees Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2711: 184-195. DOI: 10.1016/J.Ijar.2004.05.008 |
0.328 |
|
| 2002 |
ZHANG NL. INFERENCE IN BAYESIAN NETWORKS: THE ROLE OF CONTEXT-SPECIFIC INDEPENDENCE International Journal of Information Technology & Decision Making. 1: 91-119. DOI: 10.1142/S0219622002000099 |
0.315 |
|
| 2001 |
Zhang NL, Zhang W. Speeding up the convergence of value iteration in partially observable Markov decision processes Journal of Artificial Intelligence Research. 14: 29-51. DOI: 10.1613/Jair.761 |
0.473 |
|
| 1998 |
Zhang NL. Computational Properties of Two Exact Algorithms for Bayesian Networks Applied Intelligence. 9: 173-183. DOI: 10.1023/A:1008272220579 |
0.324 |
|
| 1998 |
Zhang NL, Yan L. Independence of causal influence and clique tree propagation International Journal of Approximate Reasoning. 19: 335-349. DOI: 10.1016/S0888-613X(98)10014-2 |
0.361 |
|
| 1997 |
Zhang NL, Liu W. A Model Approximation Scheme for Planning in Partially Observable Stochastic Domains Journal of Artificial Intelligence Research. 7: 199-230. DOI: 10.1613/Jair.419 |
0.315 |
|
| 1996 |
Zhang NL, Poole D. Exploiting causal independence in bayesian network inference Journal of Artificial Intelligence Research. 5: 301-328. DOI: 10.1613/Jair.305 |
0.349 |
|
| 1996 |
Zhang NL. Irrelevance and parameter learning in Bayesian networks Artificial Intelligence. 88: 359-373. DOI: 10.1016/S0004-3702(96)00035-5 |
0.315 |
|
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