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Thursday, May 11
09.15hOpening (Organizing committee)
09.30hInvited Talk: Bernhard Schölkopf (Max Planck Institute for Biological Cybernetics)
Recent advances in kernel methods
10.30hCoffee Break
11.00hMachine learning: methodology
Pierre Geurts, Raphael Maree and Louis Wehenkel
Segment and combine: a generic approach for supervised learning of invariant classifiers from topologically structured data
Anneleen Van Assche and Hendrik Blockeel
Simulating bagging without bootstrapping
Stijn Vanderlooy, Ida Sprinkhuizen-Kuyper and Evgeni Smirnov
Reliable classifiers in ROC space
12.30hLunch Break
14.00h Time series analysis
Sicco Verwer, Mathijs de Weerdt and Cees Witteveen
Identifying an automaton model for timed data
Elena Tsiporkova and Veselka Boeva
Dynamic time warping techniques for missing value estimation in gene expression time series
15.00h Evolutionary algorithms
Lars Zwanepol Klinkmeijer, Edwin de Jong and Marco Wiering
A serial population genetic algorithm for dynamic optimization problems
15.30hCoffee Break
16.00hMachine learning: Theory
Jan Poland and Marcus Hutter
Universal learning of repeated matrix games
Joaquin Vanschoren and Hendrik Blockeel
Towards understanding learning behavior
Shane Legg and Marcus Hutter
A formal measure of machine intelligence
19.00hLittle walk in the historical part of Ghent
20.00hSocial dinner
Friday, May 12
09.30hInvited Talk: Eyke Hüllermeier (Otto-von-Guericke-Universität Magdeburg)
Learning by Pairwise Comparison: Classification, Ranking, and Related Problems
10.30hCoffee Break
11.00hText, music and language mining
Jornt de Gruijl and Marco Wiering
Musical instrument classification using democratic liquid state machines
Caroline Sporleder, Marieke van Erp, Tijn Porcelijn and Antal van den Bosch
Correcting wrong-column errors in text databases
Veronique Hoste and Walter Daelemans
Comparing learning approaches to language learning. There is more to it than bias.
12.30hLunch Break
14.00hMachine learning in Bioinformatics and Biomedicine
Yvan Saeys and Yves Van de Peer
Enhancing coding potential prediction for short sequences using complementary sequence features and feature selection
Sophia Katrenko and Pieter Adriaans
Learning biomedical relations via dependency tree levels
Fabian Guiza, Daan Fierens, Jan Ramon, Hendrik Blockeel, Geert Meyfroid, Maurice Bruynooghe and Greet Van Den Berghe
Predictive data mining in intensive care
15.30hCoffee Break
16.00hReinforcement learning / Data preparation
Damien Ernst, Guy-Bart Stan, Jorge Goncalves and Louis Wehenkel
Clinical data based optimal STI strategies for HIV; a reinforcement learning approach
Pieter Adriaans
Speed search in truth tables (SSTT) A complete inductive approach to SAT
Michael Rademaker, Bernard De Baets and Hans De Meyer
Data sets for supervised ranking: to clean or not to clean
18.00h - ...Belgian beer tasting event


Sponsors & Organization:

Organized by Bioinformatics & Evolutionary Genomics & Research Unit Knowledge-based Systems.