We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
In this paper, we show how we can learn to select good words for a document title. We view the problem of selecting good title words for a document as a variant of an Information ...
Research in individual differences and in particular, learning and cognitive style, has become a basis to consider learner preferences in a web-based educational context. How lear...
Virtual Reality (VR) is gaining in popularity and its added value for learning is being recognized. However, its richness in representation and manipulation possibilities may also ...
Olga De Troyer, Frederic Kleinermann, Bram Pellens...
Abstract. We generalize a learning algorithm originally devised for deterministic all-accepting weighted tree automata (wta) to the setting of arbitrary deterministic wta. The lear...