Graph-Sparse LDA: A Topic Model with Structured Sparsity
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[1] Thomas L. Griffiths,et al. The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies , 2007, JACM.
[2] Yang Wang,et al. Human Action Recognition by Semilatent Topic Models , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] David M. Blei,et al. Probabilistic topic models , 2012, Commun. ACM.
[4] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[5] William R. Hersh,et al. Reducing workload in systematic review preparation using automated citation classification. , 2006, Journal of the American Medical Informatics Association : JAMIA.
[6] Frank D. Wood,et al. Hierarchically Supervised Latent Dirichlet Allocation , 2011, NIPS.
[7] George A. Miller,et al. WordNet: A Lexical Database for English , 1995, HLT.
[8] Eric P. Xing,et al. Sparse Additive Generative Models of Text , 2011, ICML.
[9] Timothy Baldwin,et al. Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality , 2014, EACL.
[10] Anima Anandkumar,et al. Tensor decompositions for learning latent variable models , 2012, J. Mach. Learn. Res..
[11] David B. Dunson,et al. Topic Modeling with Nonparametric Markov Tree , 2011, ICML.
[12] Mark Steyvers,et al. Finding scientific topics , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[13] Xiaojin Zhu,et al. A Topic Model for Word Sense Disambiguation , 2007, EMNLP.
[14] Marc Light,et al. Hiding a Semantic Hierarchy in a Markov Model , 1999, ACL 1999.
[15] C E Lipscomb,et al. Medical Subject Headings (MeSH). , 2000, Bulletin of the Medical Library Association.
[16] Xiaohua Hu,et al. Tree Labeled LDA: A Hierarchical model for web summaries , 2013, 2013 IEEE International Conference on Big Data.
[17] Wei Li,et al. Pachinko allocation: DAG-structured mixture models of topic correlations , 2006, ICML.
[18] Chong Wang,et al. Reading Tea Leaves: How Humans Interpret Topic Models , 2009, NIPS.
[19] Carla E. Brodley,et al. Active learning for biomedical citation screening , 2010, KDD.
[20] Guillaume Bouchard,et al. Latent IBP Compound Dirichlet Allocation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Andrew McCallum,et al. Optimizing Semantic Coherence in Topic Models , 2011, EMNLP.
[22] Jordan L. Boyd-Graber,et al. Efficient Tree-Based Topic Modeling , 2012, ACL.
[23] Xiaojin Zhu,et al. Incorporating domain knowledge into topic modeling via Dirichlet Forest priors , 2009, ICML '09.
[24] Olivier Bodenreider,et al. The Unified Medical Language System (UMLS): integrating biomedical terminology , 2004, Nucleic Acids Res..
[25] Chong Wang,et al. The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling , 2010, ICML.
[26] Yichuan Zhang,et al. Advances in Neural Information Processing Systems 25 , 2012 .
[27] Finale Doshi-Velez,et al. Comorbidity Clusters in Autism Spectrum Disorders: An Electronic Health Record Time-Series Analysis , 2014, Pediatrics.
[28] Emily B. Fox,et al. Concept Modeling with Superwords , 2012, ArXiv.
[29] M. Ghassemi,et al. Topic Models for Mortality Modeling in Intensive Care Units , 2012 .
[30] F B ROGERS,et al. Medical Subject Headings , 1948, Nature.
[31] Pietro Perona,et al. A Bayesian hierarchical model for learning natural scene categories , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[32] Timothy Baldwin,et al. Automatic Evaluation of Topic Coherence , 2010, NAACL.
[33] Chong Wang,et al. Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process , 2009, NIPS.
[34] J M Grimshaw,et al. Effect of clinical guidelines on medical practice: a systematic review of rigorous evaluations. , 1994, Lancet.
[35] Thomas L. Griffiths,et al. The Indian Buffet Process: An Introduction and Review , 2011, J. Mach. Learn. Res..