— There has been much recent interest in protocol design for wireless networks based on maximizing a network utility function. A significant advance in recent years is the obser...
Abstract-- With increasing richness in features such as personalization of content, web applications are becoming more complex and hence compute intensive. Traditional approaches t...
In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm ...
We study local interchangeability of values in constraint networks based on a new approach where a single value in the domain of a variable can be treated as a combination of &quo...
We propose a gossip-based distributed algorithm for Gaussian mixture learning, Newscast EM. The algorithm operates on network topologies where each node observes a local quantity ...