Dynamic programming algorithms have been successfully applied to propositional stochastic planning problems by using compact representations, in particular algebraic decision diag...
We propose a new approach for scheduling with strict deadlines and apply this approach to the TimeConstrained Project Scheduling Problem (TCPSP). To be able to meet these deadlines...
T. A. Guldemond, Johann Hurink, Jacob Jan Paulus, ...
For many medical segmentation tasks, the contrast along most of the boundary of the target object is high, allowing simple thresholding or region growing approaches to provide near...
We present a novel randomized approach to the graph isomorphism problem. Our algorithm aims at solving difficult instances by producing randomized certificates for non-isomorphis...
We present a new efficient algorithm for obtaining utilitarian optimal solutions to Disjunctive Temporal Problems with Preferences (DTPPs). The previous state-of-the-art system ac...