Many intelligent user interfaces employ application and user models to determine the user's preferences, goals and likely future actions. Such models require application anal...
Large-scale military deployments require transporting equipment and personnel over long distances in a short time. Planning an efficient airlift system is complicated and several ...
Julien Granger, Ananth Krishnamurthy, Stephen M. R...
Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in ...
We propose a method for providing stochastic confidence estimates for rule-based and black-box natural language (NL) processing systems. Our method does not require labeled trainin...
Christian Monson, Kristy Hollingshead, Brian Roark
Abstract. Ant algorithms are usually derived from a stochastic modeling based on some specific probability laws. We consider in this paper a full deterministic model of "logis...