Abstract. In Aspect-Oriented Programming we decompose a problem into a number of functional components as well as a number of aspects and then we compose these components and aspec...
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
Abstract. This paper discusses the interest of the Tree of Shapes of an image as a region oriented image representation. The Tree of Shapes offers a compact and structured represen...
Coloma Ballester, Vicent Caselles, Laura Igual, Ll...
Extracting knowledge from unstructured text is a long-standing goal of NLP. Although learning approaches to many of its subtasks have been developed (e.g., parsing, taxonomy induc...
ed tree transducers are abstract models used to study properties bute grammars. One abstraction which occurs when modeling attribute grammars by attributed tree transducers is that...