This paper introduces a new approach of approximating the selectivity of multimedia range queries. Estimating the selectivity of a range query is a pre-requisite to optimize a mul...
This paper presents a reinforcement learning algorithm used to allocate tasks to agents in an uncertain real-time environment. In such environment, tasks have to be analyzed and a...
Dynamically reconfigurable co-processors (DRCs) are interesting design alternatives when both flexibility and performance are concerns. However, it is difficult to study the perfor...
This paper presents a new technique for automatically creating analog circuit models. The method extracts - from trained neural networks - piecewise linear models expressing the l...
This paper addresses the issue of identifying buffer overrun vulnerabilities by statically analyzing C source code. We demonstrate a light-weight analysis based on modeling C stri...
Vinod Ganapathy, Somesh Jha, David Chandler, David...