In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
Representational State Transfer (REST), as an architectural style for distributed hypermedia systems, enables scalable operation of the World Wide Web (WWW) and is the foundation f...
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Interference is an unavoidable property of the wireless communication medium and, in sensor networks, such interference is exacerbated due to the energy-starved nature of the netw...
Abstract. In this paper we present a model for the carpet cutting problem in which carpet shapes are cut from a rectangular carpet roll with a fixed width and sufficiently long le...
Andreas Schutt, Peter J. Stuckey, Andrew R. Verden