Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
Background: Document classification is a wide-spread problem with many applications, from organizing search engine snippets to spam filtering. We previously described Textpresso, ...
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
In this paper we present a multicost algorithm for the joint time scheduling of the communication and computation resources that will be used by a task. The proposed algorithm sel...
Kostas Christodoulopoulos, Nikolaos D. Doulamis, E...
Abstract— We present a novel cooperative vehicle position estimation algorithm, which can achieve higher levels of accuracy and reliability than existing GPS based positioning so...