— Machine learning has made great progress during the last decades and is being deployed in a wide range of applications. However, current machine learning techniques are far fro...
Test case generation is an expensive, tedious, and errorprone process in software testing. In this paper, test case generation is accomplished using an Extended Finite State Machi...
— We propose a novel approach to reducing energy consumption in sensor networks using a distributed adaptive signal processing framework and efficient algorithm 1 . While the to...
This paper presents a simple continuous analog hardware realization of the Random Neural Network (RNN) model. The proposed circuit uses the general principles resulting from the u...
We study the problem of auditing databases which support statistical sum queries to protect the security of sensitive information; we focus on the special case in which the sensit...
Jon M. Kleinberg, Christos H. Papadimitriou, Prabh...