Abstract. We explore the use of ubiquitous sensing in the home for contextsensitive microlearning. To assess how users would respond to frequent and brief learning interactions tie...
Jennifer Beaudin, Stephen S. Intille, Emmanuel Mun...
Nested-parallelism programming models, where the task graph associated to a computation is series-parallel, present good analysis properties that can be exploited for scheduling, c...
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
Evolutionary Algorithms (EAs) have been proposed as a very powerful heuristic optimization technique to solve complex problems. Many case studies have shown that they work very eff...
rovides an abstract programmer’s model for the implementation of embedded control systems with hard real-time constraints. A typical control application consists of periodic soft...
Thomas A. Henzinger, Benjamin Horowitz, Christoph ...