The Hybrid Nested/Hierarchical Dirichlet Process and its Application to Topic Modeling with Word Differentiation
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[1] Bo Zhao,et al. Probabilistic topic models with biased propagation on heterogeneous information networks , 2011, KDD.
[2] Wei-Ying Ma,et al. An Evaluation on Feature Selection for Text Clustering , 2003, ICML.
[3] Ramesh Nallapati,et al. Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora , 2009, EMNLP.
[4] Jim Pitman,et al. Poisson–Dirichlet and GEM Invariant Distributions for Split-and-Merge Transformations of an Interval Partition , 2002, Combinatorics, Probability and Computing.
[5] Brian Litt,et al. A Hierarchical Dirichlet Process Model with Multiple Levels of Clustering for Human EEG Seizure Modeling , 2012, ICML.
[6] Charles Nicholas,et al. Feature Selection and Document Clustering , 2004 .
[7] Volker Tresp,et al. Dirichlet Enhanced Latent Semantic Analysis , 2005, AISTATS.
[8] Michael I. Jordan,et al. Hierarchical Dirichlet Processes , 2006 .
[9] Guan Yu,et al. Document clustering via dirichlet process mixture model with feature selection , 2010, KDD.
[10] John W. Fisher,et al. Coupling Nonparametric Mixtures via Latent Dirichlet Processes , 2012, NIPS.
[11] Chong Wang,et al. Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process , 2009, NIPS.
[12] Michael I. Jordan,et al. DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification , 2008, NIPS.
[13] W. Eric L. Grimson,et al. Construction of Dependent Dirichlet Processes based on Poisson Processes , 2010, NIPS.
[14] A. Gelfand,et al. The Nested Dirichlet Process , 2008 .
[15] Marina Vannucci,et al. Variable selection in clustering via Dirichlet process mixture models , 2006 .
[16] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[17] P. Müller,et al. A method for combining inference across related nonparametric Bayesian models , 2004 .