Discovering patterns or frequent episodes in transactions is an important problem in data-mining for the purpose of infering deductive rules from them. Because of the huge size of...
Abstract. Interactively learning from a small sample of unlabeled examples is an enormously challenging task. Relevance feedback and more recently active learning are two standard ...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
The development of video games is a complex software engineering activity bringing together large multidisciplinary teams under stringent constraints. While much has been written a...
Abstract. We present a method to test a group of agents for (unwanted) emergent behavior by using techniques from learning of cooperative behavior. The general idea is to mimick us...
This paper provides a realistic case study of using the previously introduced SIMPPL system architectural model, which fixes the physical interface and communication protocols bet...