We describe the Paraflow system for connecting heterogeneous computing services together into a flexible and efficient data-mining metacomputer. There are three levels of parallel...
In this paper we address a well-known facility location problem (FLP) in a sensor network environment. The problem deals with finding the optimal way to provide service to a (poss...
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
A power grid is a complex system connecting electric power generators to consumers through power transmission and distribution networks across a large geographical area. System mo...