Partially-observable Markov decision processes (POMDPs) provide a powerful model for sequential decision-making problems with partially-observed state and are known to have (appro...
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
We propose a novel method for computing a geometrically consistent and spatially dense matching between two 3D shapes. Rather than mapping points to points we match infinitesimal...
Thomas Windheuser, Ulrich Schlickewei, Frank R. Sc...
It is well-known that stable models (as dI-domains, qualitative domains and coherence are not fully abstract for the language PCF. This fact is related to the existence of stable ...
In Ubiquitous computing small embedded sensor and computing nodes are the main enabling technologies. System programming for such small embedded systems is a challenging task invol...