| Date | Speaker | Talk Title | ||||
| 12.10.2005 | Claire Gormley | Mixture Models, Benter's Model & the MM Algorithm | ||||
| 19.10.2005 | Brendan Murphy | Variable Selection in Model-Based Discriminant Analysis | ||||
| 26.10.2005 | Paul McNicholas | Parsimonious Gaussian Mixture Models | ||||
| 02.11.2005 | Katarina Domijan | Reproducing Kernel Hilbert Spaces for Classification | ||||
| 09.11.2005 | Frank Boland | Approximate Entropy as a measure of System Complexity | ||||
| 16.11.2005 | Francois Pitié and Rozenn Dahyot | Probability Distribution Transfer and the Monge problem | ||||
| 23.11.2005 | Claire Gormley | Mixture Models for Ranking Data | ||||
| 30.11.2005 | Cathal Walsh | Incoherent stochastic drift through what, how and why we should learn statistically | ||||
| 11.01.2006 | Michael Carney | Optimisation for Empirically Valid Density Forecasts | ||||
| 18.01.2006 | Claire Gormley | Latent Space Models | ||||
| 25.01.2006 | Paul McNicholas | Association Rules | ||||
| 01.02.2006 | Deirdre Toher | Classification In Food Authenticity Studies | ||||
| 08.02.2006 | Pádraig Cunningham | Tutorial on SVMs | ||||
| 15.02.2006 | Angela Quinlan | Minimal performance bounds on parameter estimation | ||||
| 22.02.2006 | Myra O'Regan | Random Forests | ||||
| 01.03.2006 | Anthony Quinn | The Variational Bayes Approximation and its Uses. | ||||
| 08.03.2006 | Myra O'Regan | Classifier Technology and the Illusion of Progress | ||||
| 05.04.2006 | Simon Wilson | Bayesian content-based image retrieval | ||||
| 12.04.2006 | Michael Salter-Townshend | Zero Inflation of Compositional Data | ||||
| 26.04.2006 | Khurshid Ahmad | Neural Computing and learning to subitize and to count | ||||
| 03.05.2006 | Andrew Parnell | Sometime around the day after tomorrow: temporal uncertainty in climate change | ||||
| 10.05.2006 | Senan Doyle | Feasible Link Statistics for Adaptive Ad Hoc Networks |