Topic Models - Text Mining: Classification, Clustering, and Applications - page 90

[26] T. Minka and J. Lafferty. Expectation-propagation for the generative
aspect model. In Uncertainty in Artificial Intelligence (UAI) , 2002.
[27] K. Nigam, A. McCallum, S. Thrun, and T. Mitchell. Text classification
from labeled and unlabeled documents using EM. Machine Learning ,
39(2/3):103-134, 2000.
[28] J. Pritchard, M. Stephens, and P. Donnelly. Inference of population
structure using multilocus genotype data. Genetics , 155:945-959, June
2000.
[29] M. Purver, K. Kording, T. Griths, and J. Tenenbaum. Unsupervised
topic modelling for multi-party spoken discourse. In ACL , 2006.
[30] L. R. Rabiner. A tutorial on hidden Markov models and selected ap-
plications in speech recognition. Proceedings of the IEEE , 77:257-286,
1989.
[31] M. Rosen-Zvi, T. Griths, M. Steyvers, and P. Smith. The author-topic
model for authors and documents. In Proceedings of the 20th Conference
on Uncertainty in Artificial Intelligence , pages 487-494. AUAI Press,
2004.
[32] B. Russell, A. Efros, J. Sivic, W. Freeman, and A. Zisserman. Us-
ing multiple segmentations to discover objects and their extent in im-
age collections. In IEEE Conference on Computer Vision and Pattern
Recognition , pages 1605-1614, 2006.
[33] M. Steyvers and T. Griths. Probabilistic topic models. In T. Landauer,
D. McNamara, S. Dennis, and W. Kintsch, editors, Latent Semantic
Analysis: A Road to Meaning . Laurence Erlbaum, 2006.
[34] Z. Tang and J. MacLennan. Data Mining with SQL Server 2005 . Wiley,
2005.
[35] Y. Teh, M. Jordan, M. Beal, and D. Blei. Hierarchical Dirichlet pro-
cesses. Journal of the American Statistical Association , 101(476):1566-
1581, 2007.
[36] Y. Teh, D. Newman, and M. Welling. A collapsed variational Bayesian
inference algorithm for latent Dirichlet allocation. In Neural Information
Processing Systems , 2006.
[37] M. Wainwright and M. Jordan. A variational principle for graphical
models. In New Directions in Statistical Signal Processing , chapter 11.
MIT Press, 2005.
[38] X. Wei and B. Croft. LDA-based document models for ad-hoc retrieval.
In SIGIR , 2006.
[39] M. West and J. Harrison. Bayesian Forecasting and Dynamic Models .
Springer, 1997.