Validation in Statistics and Machine Learning
6-7 October 2010
Program
Wednesday, October 6 | ||
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08.00-09.00 | Registration | |
09.00-09.15 | Welcome (slides) | |
Session: Telling the Story (Chair: Nicole Krämer) | ||
09.15-10.00 | Anne Laure Boulesteix (Munich) Over-optimism in statistical bioinformatics: an illustration (abstract, slides) | |
10.00-10.45 | Neil Lawrence (Sheffield) Making Implementations Available for the Research Community (abstract, slides) | |
10.45-11.15 | Coffee Break | |
Session: Variable Importance (Chair: Carolin Strobl) | ||
11.15-12.00 | Ulrike Grömping (Berlin) Variable Importance in Linear Models and Random Forests (abstract) | |
12.00-12.20 | Verena Zuber (Leipzig) High-dimensional feature selection by decorrelation (abstract, slides) | |
12.20-14.00 | Lunch Break | |
Session: Reproducibility (Chair: Neil Lawrence) | ||
14.00-14.45 | Niels Keiding (Copenhagen) Reproducible research and the substantive context (abstract, slides) | |
14.45-15.30 | Torsten Hothorn (Munich) Reproducible Statistical Analyses Today (abstract, slides) | |
15.30-17.00 | Coffee Break and Poster Session | |
Poster Session (room 406) | ||
Jean-Charles Lamirel (Vandouevre-les-Nancy) and Ghada Safi (Aleppo) Use of distance-based indexes might well lead to misinterpretation of clustering quality results (abstract) Andreas Mayr (Erlangen) The correct validation of prediction intervals (abstract) Renee Menezes (Amsterdam) Filtering, FDR and bias in high-dimensional data analysis (abstract) Hans-Joachim Mucha (Berlin) Validation in cluster analysis (abstract) Tsuyoshi Okita (Dublin) Statistical Significance Test in Machine Translation (abstract) Julia Schiffner (Dortmund) Bias-Variance Analysis of Local Classification Methods (abstract) Francois Schnitzler (Liege) Discussing the validation of high-dimensional probability distribution learning with mixtures of graphical models for inference (abstract) Caroline Truntzer (Dijon) Comparative optimism in models involving both classical clinical and gene expression information (abstract) | ||
Session: Assessing Prediction Models (Chair: Torsten Hothorn) | ||
17.00-17.45 | Jelle Goeman (Leiden) Fast approximate leave-one-out cross-validation for large sample sizes (abstract, slides) | |
17.45-18.30 | Thomas A. Gerds (Copenhagen) Confidence scores for prediction models (abstract, slides) | |
20.00-24.00 | Conference Dinner at Tapas y Mas Tres(link) | |
Thursday, October 7 | ||
Session: Variable Importance and Tests (Chair: Ulrike Grömping) | ||
09.00-09.45 | Carolin Strobl (Munich) What we can learn from trees and forests (abstract, slides) | |
09.45-10.30 | Thorsten Dickhaus (Berlin) How normal can the t-statistic possibly be? (abstract, slides) | |
10.30-11.00 | Coffee Break | |
Session: Biometry (Chair: Jelle Goeman) | ||
11.00-11.45 | Ulrich Mansmann (Munich) Biological aspects for the validation of estimated gene interaction networks from microarray data (abstract, slides) | |
11.45-12.05 | Christoph Bernau (Munich) Correction for Tuning Bias in Resampling Based Error Rate Estimation (abstract, slides) | |
12.05-12.50 | Richardus Vonk (Berlin) The Many Faces of Validation (abstract, slides) | |
12.50-14.30 | Lunch Break | |
Session: Benchmarking (Chair: Paul Eilers) | ||
14.30-14.50 | Manuel Eugster (Munich) Sequential Benchmarking (abstract, slides) | |
14.50-15.35 | Francois Fleuret (Martigny) The MASH platform - Collaborative design of large-scale learning architectures (abstract, slides) | |
15.35-16.20 | Mikio Braun (Berlin) Machine Learning Open Source Software and Benchmark Repository (abstract, slides) | |
16.20-16.30 | Farewell (slides) |