Abstract-We study the problem of achieving global behavior in a group of distributed robots using only local sensing and minimal communication, in the context of formations. The go...
Programming a humanoid robot to walk is a challenging problem in robotics. Traditional approaches rely heavily on prior knowledge of the robot's physical parameters to devise...
Rawichote Chalodhorn, David B. Grimes, Keith Groch...
Understanding the nature of the information flowing into and out of a system or network is fundamental to determining if there is adherence to a usage policy. Traditional methods...
James P. Early, Carla E. Brodley, Catherine Rosenb...
Abstract. We describe an ensemble of classifiers based algorithm for incremental learning in nonstationary environments. In this formulation, we assume that the learner is presente...
This paper considers a method that combines ideas from Bayesian learning, Bayesian network inference, and classical hypothesis testing to produce a more reliable and robust test o...