Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
— Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach nearopti...
We develop a new algorithm, based on EM, for learning the Linear Dynamical System model. Called the method of Approximated Second-Order Statistics (ASOS) our approach achieves dra...
A flurry of recent work has focused on the performance gains that may be achieved by leveraging the broadcast nature of the wireless channel. In particular, researchers have obse...
Human interaction occurs always in a specific context and in a particular environment, and a common knowledge base about them is essential for understanding each other. By immersi...