… Schietgat · H. Blockeel Department of Computer Science, Katholieke Universiteit Leuven, …
Leander Schietgat is supported by a PhD grant of the Institute for the Promotion of Innovation …

It is still not possible to predict whether a given molecule will have a perceived odor or what
olfactory percept it will produce. We therefore organized the crowd-sourced DREAM …

Background S. cerevisiae, A. thaliana and M. musculus are well-studied organisms in biology
and the sequencing of their genomes was completed many years ago. It is still a challenge…

… , 3001 Leuven, Belgium {hendrik.blockeel, leander.schietgat, jan.struyf}@cs.kuleuven.be 2
Dept… Torgo, L.: A comparative study of reliable error estimators for pruning regression trees. In …

Trypsin is the workhorse protease in mass spectrometry-based proteomics experiments and
is used to digest proteins into more readily analyzable peptides. To identify these peptides …

… Third, in contrast to classification methods such as LtrDigest, LtrSift, RepClass, Pastec and
LtrClassifier, our method is not based on a predefined set of rules. Instead, we exploit the …

… Similarly, a pair of SNPs s k , s l are said to be in SNP conflict if reads r u and r v are …
We define L as the ‘lookback’ size, the number of variants of the current path to consider …

In multi-target prediction, an instance has to be classified along multiple target variables at the
same time, where each target represents a category or numerical value. There are several …

In this work we propose a Reinforcement Learning approach for a real-world flexible job
shop scheduling scenario, where a two-armed robot and a human operator share two …

The standard approach to feature construction and predictive learning in molecular datasets
is to employ computationally expensive graph mining techniques and to bias the feature …