Publications

Snijders, T. et al. (2007) “Discussion on the paper by Handcock, Raftery and Tantrum”, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 170, pp. 322–354.

Cai, J., Lee, W. and Teh, Y. (2007) “NUS-ML: Improving word sense disambiguation using topic features”, in ACL 2007 - SemEval 2007 - Proceedings of the 4th International Workshop on Semantic Evaluations, pp. 249–252.

Goldstein, L. and Reinert, G. (2006) “Total Variation Distance for Poisson Subset Numbers”, Annals of Combinatorics, 10(3), pp. 333–341.

Teh, Y. et al. (2006) “Hierarchical Dirichlet Processes”, Journal of the American Statistical Association, 101(476), pp. 1566–1581.

Xingt, E. et al. (2006) “Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture”, ICML 2006 - Proceedings of the 23rd International Conference on Machine Learning, 2006, pp. 1049–1056.

Stephenson, J., Gallagher, K. and Holmes, C. (2006) “A Bayesian approach to calibrating apatite fission track annealing models for laboratory and geological timescales”, Geochimica et Cosmochimica Acta, 70(20), pp. 5183–5200.

Gallagher, K. et al. (2006) “A new approach to mixture modelling for geochronology”, in Geochimica et Cosmochimica Acta. Elsevier, pp. a190 - A190.

Gallagher, K. et al. (2006) “Putting the data to work—strategies for modelling multiple samples in multiple dimensions”, in Geochimica et Cosmochimica Acta. Elsevier, pp. a190 - A190.

Hinton, G. et al. (2006) “Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation”, Cognitive Science, 30(4), pp. 725–731.

Caron, F. et al. (2006) “Bayesian Inference for Dynamic Models with Dirichlet Process Mixtures”, in. Institute of Electrical and Electronics Engineers (IEEE), pp. 209–230.