Because large scienti c codes are rarely static objects, developers are often faced with the tedious task of accounting for discrepancies between new and old versions. In this pap...
David Abramson, Ian T. Foster, John Michalakes, Ro...
This paper introduces a generalized framework, termed “stochastic cloning,” for processing relative state measurements within a Kalman filter estimator. The main motivation a...
This paper presents an immersive virtual environment which allows the user to virtually explore and experience special relativity, including phenomena such as Lorentz contraction,...
Currently statistical and artificial neural network methods dominate in financial data mining. Alternative relational (symbolic) data mining methods have shown their effectiveness...
In this paper we present a model of functional access to data that, we argue, is suitable for modeling a class of data repositories characterized by functional access, such as web ...