We provide an analytical comparison between discounted and average reward temporal-difference (TD) learning with linearly parameterized approximations. We first consider the asympt...
Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where ...
Comparative analysis of protein networks has proven to be a powerful approach for elucidating network structure and predicting protein function and interaction. A fundamental chall...
Mapping composition is a fundamental operation in metadata driven applications. Given a mapping over schemas 1 and 2 and a mapping over schemas 2 and 3, the composition problem is...
Philip A. Bernstein, Todd J. Green, Sergey Melnik,...
We demonstrate a prototype of the relational data mapping module of MIQIS, a formal framework for investigating information flow in peer-to-peer database management systems. Data ...