: This paper examines the personalization of online training simulations which are a key modern approach in computer aided education. More specifically it focuses on the difficulti...
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
This paper presents an approach to generate audio based learning material dynamically from Wikipedia articles for m-Learning and ubiquitous access. It introduces the so called ’...
Abstract. While injecting fault during training has long been demonstrated as an effective method to improve fault tolerance of a neural network, not much theoretical work has been...
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...