Evolutionary Computation is an exciting research field with the power to assist researchers in the task of solving hard optimization problems (i.e., problems where the exploitabl...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Pattern-based synthesis has drawn wide interest from researchers who tried to utilize the regularity in applications for design optimizations. In this paper we present a general p...
This paper focuses on a task allocation problem, particularly in cases where the task is to find a solution to a search problem or a constraint satisfaction problem. If the searc...
This paper discusses generating document structure from annotated media repositories in a domain-independent manner. This approaches the vision of a universal RDF browser. We star...
Lloyd Rutledge, Jacco van Ossenbruggen, Lynda Hard...