—The optimal performance-complexity tradeoff for error-correcting codes at rates strictly below the Shannon limit is a central question in coding theory. This paper proposes a nu...
Benjamin Smith, Masoud Ardakani, Wei Yu, Frank R. ...
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
A software development process is conceptually an abstract form of model transformation, starting from an enduser model of requirements, through to a system model for which code c...
Emine G. Aydal, Richard F. Paige, Mark Utting, Jim...
Supervised learners can be used to automatically classify many types of spatially distributed data. For example, land cover classification by hyperspectral image data analysis is ...
In managing and troubleshooting home networks, one of the challenges is in knowing what is actually happening. Availability of a record of events that occurred on the home network...
Kenneth L. Calvert, W. Keith Edwards, Nick Feamste...