Abstract. The prediction of diagnosis codes is typically based on freetext entries in clinical documents. Previous attempts to tackle this problem range from strictly rule-based sy...
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
In this paper, we consider the challenge of designing a reflective middleware to integrate multiple autonomous simulation models into an integrated simulation environment (multiasi...
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
Abstract—Jamming attacks and unintentional radio interference are one of the most urgent threats harming the dependability of wireless communication and endangering the successfu...