Group topic model: organizing topics into groups

[1]  Pengtao Xie,et al.  Integrating Document Clustering and Topic Modeling , 2013, UAI.

[2]  Chong Wang,et al.  Stochastic variational inference , 2012, J. Mach. Learn. Res..

[3]  Dan Zhang,et al.  Document clustering with universum , 2011, SIGIR.

[4]  Jiawei Han,et al.  Locally Consistent Concept Factorization for Document Clustering , 2011, IEEE Transactions on Knowledge and Data Engineering.

[5]  Yue Lu,et al.  Investigating task performance of probabilistic topic models: an empirical study of PLSA and LDA , 2011, Information Retrieval.

[6]  Francis R. Bach,et al.  Online Learning for Latent Dirichlet Allocation , 2010, NIPS.

[7]  David B. Dunson,et al.  Probabilistic topic models , 2011, KDD '11 Tutorials.

[8]  Bryan Silverthorn,et al.  Spherical Topic Models , 2010, ICML.

[9]  Chong Wang,et al.  Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process , 2009, NIPS.

[10]  Andrew McCallum,et al.  Rethinking LDA: Why Priors Matter , 2009, NIPS.

[11]  Sunil Arya,et al.  Space-time tradeoffs for approximate nearest neighbor searching , 2009, JACM.

[12]  David M. Blei,et al.  Hierarchical relational models for document networks , 2009, 0909.4331.

[13]  Nir Friedman,et al.  Probabilistic Graphical Models - Principles and Techniques , 2009 .

[14]  Ruslan Salakhutdinov,et al.  Evaluation methods for topic models , 2009, ICML '09.

[15]  Charles Elkan,et al.  Accounting for burstiness in topic models , 2009, ICML '09.

[16]  Bo Thiesson,et al.  Markov Topic Models , 2009, AISTATS.

[17]  David M. Blei,et al.  Syntactic Topic Models , 2008, NIPS.

[18]  Alexei A. Efros,et al.  Unsupervised discovery of visual object class hierarchies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[19]  David M. Blei,et al.  Supervised Topic Models , 2007, NIPS.

[20]  A. McCallum,et al.  Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

[21]  Thomas L. Griffiths,et al.  The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies , 2007, JACM.

[22]  Michael K. Ng,et al.  An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data , 2007, IEEE Transactions on Knowledge and Data Engineering.

[23]  John D. Lafferty,et al.  A correlated topic model of Science , 2007, 0708.3601.

[24]  Michael I. Jordan,et al.  Hierarchical Dirichlet Processes , 2006 .

[25]  Hanna M. Wallach,et al.  Topic modeling: beyond bag-of-words , 2006, ICML.

[26]  John D. Lafferty,et al.  Dynamic topic models , 2006, ICML.

[27]  Wei Li,et al.  Pachinko allocation: DAG-structured mixture models of topic correlations , 2006, ICML.

[28]  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).

[29]  Martin Zinkevich,et al.  Online Convex Programming and Generalized Infinitesimal Gradient Ascent , 2003, ICML.

[30]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[31]  Richard A. Harshman,et al.  Indexing by Latent Semantic Analysis , 1990, J. Am. Soc. Inf. Sci..

[32]  L. Lovász.  Matching Theory (North-Holland mathematics studies) , 1986 .

[33]  Jane Zundel.  MATCHING THEORY , 2011 .

[34]  Hanna Wallach,et al.  Structured Topic Models for Language , 2008 .