Active Bibliography

58 A tutorial introduction to the minimum description length principle – Peter Grünwald
3 Comparing dynamic causal models using AIC, BIC and free energy – W. D. Penny - 2012
2 Model selection for unsupervised learning of visual context – Tao Xiang, Shaogang Gong
1 Schwarz, Wallace, and Rissanen: Intertwining Themes in Theories of Model Selection – Aaron D. Lanterman - 2000
4 Model Selection for Two View Geometry: A Review – P.H.S. Torr - 1998
5 Visual learning given sparse data of unknown complexity – Tao Xiang, Shaogang Gong - 2005
3 On the Accuracy of Stochastic Complexity Approximations – Petri Kontkanen, Petri Myllymaki, Tomi Sil, Henry Tirri
Chapter 35: Bayesian model selection and averaging – W. D. Penny, J. Mattout, N. Trujillo-barreto - 2006
145 Model Selection and the Principle of Minimum Description Length – Mark H. Hansen, Bin Yu - 1998
12 Model Selection by Normalized Maximum Likelihood – Jay I. Myung , Daniel J. Navarro , Mark A. Pitt - 2005
2 Stochastic Complexity Based Estimation of Missing Elements in Questionnaire Data – Henry Tirri, Tomi Silander - 1998
UNSUPERVISED LEARNING OF VISUAL CONTEXT USING COMPLETED LIKELIHOOD AIC – Tao Xiang, et al.
2 Optimal Dynamic Graphs for Video Content Analysis – Tao Xiang, Shaogang Gong
1 Optimal Dynamic Graphs for Video Content Analysis – Tao Xiang, Shaogang Gong
48 Beyond tracking: modelling activity and understanding behaviour – Tao Xiang, Shaogang Gong - 2006
3 Optimising dynamic graphical models for video content analysis – Tao Xiang, Shaogang Gong
13 Suboptimal behavior of Bayes and MDL in classification under misspecification – Peter Grünwald, John Langford - 2004
38 On predictive distributions and Bayesian networks – P. Kontkanen, P. Myllymäki, T. SILANDER, H. Tirri, P. Grünwald - 2000
6 Bayesian Approaches to Segmenting a Simple Time Series – Jonathan J. Oliver, Catherine S. Forbes - 1997