One of the most important open problems of parallel LTL model-checking is to design an on-the-fly scalable parallel algorithm with linear time complexity. Such an algorithm would g...
In this work we consider the problem of binary classification where the classifier may abstain instead of classifying each observation, leaving the critical items for human evaluat...
Abstract. A class of probabilistic-logic models is considered, which increases the expressibility from HMM's and SCFG's regular and contextfree languages to, in principle...
As the interactive entertainment industry matures, a better understanding of what makes software entertaining is needed. A natural starting point is the application of traditional...
We have explored using neurophysiologic patterns as an approach for developing a deeper understanding of how teams collaborate when solving time-critical, complex real-world proble...
Ronald H. Stevens, Trysha Galloway, Chris Berka, M...