Abstract. This paper examines the generalization capability in learning multiple temporal patterns by the recurrent neural network with parametric bias (RNNPB). Our simulation expe...
Asynchronous interactions are becoming more and more important in the implementation of complex B2B Web applications. This paper addresses correlation and coordination issues invo...
Marco Brambilla, Stefano Ceri, Mario Passamani, Al...
In this paper we present an extension to an existing hash based packet classification technique in order to improve its performance in a distributed network access control environm...
Survey propagation is a powerful technique from statistical physics that has been applied to solve the 3-SAT problem both in principle and in practice. We give, using only probabi...
The computation and memory required for kernel machines with N training samples is at least O(N2 ). Such a complexity is significant even for moderate size problems and is prohibi...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis