For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
Yiming Ying, Colin Campbell, Theodoros Damoulas, M...
Abstract. Stochastic Local Search (SLS) is a simple and effective paradigm for attacking a variety of Combinatorial (Optimization) Problems (COP). However, it is often non-trivial...
—The problem of reconstructing the duplication history of a set of tandemly repeated sequences was first introduced by Fitch [4]. Many recent studies deal with this problem, show...
Multi-item, multi-unit negotiations in industrial procurement pose serious challenges to buying agents when trying to determine the best set of providering agents’ offers. Typic...
We study the combinatorial optimization task of choosing the smoothest map from a given family of maps, which is motivated from motor control unit calibration. The problem is of a ...