In this paper we investigate two aspects of ranking problems on large graphs. First, we augment the deterministic pruning algorithm in Sarkar and Moore (2007) with sampling techni...
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Abstract. Attention, which intervenes at many different levels such as the perception of the environment and the allocation of cognitive resources, appears to represent one of the ...
Based on the overall aims of the AdeLE (Adaptive e-Learning with Eye-Tracking) project, and in particular motivated by the decision of using a strictly separated system’s archit...