We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Quality-of-service (QOS) requirements for applications in high-speed networks are typically specied on an end-to-end basis. Mapping this end-to-end requirement to nodal requiremen...
Ramesh Nagarajan, James F. Kurose, Donald F. Towsl...
In this paper we propose a practical and efficient method for finding the globally optimal solution to the problem of pose estimation of a known object. We present a framework tha...