Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
This paper describes a way to manage the modeling and analysis of Scheduled Maintenance Systems (SMS) within an analytically tractable context. We chose a significant case study h...
This paper proposes a hybrid approach for managing knowledge within companies based on communication between people. In addition to traditional Knowledge Management Systems our co...
Robert Loew, Katrin Kuemmel, Judith Ruprecht, Udo ...
Abstract. Acquiring adaptation knowledge for case-based reasoning systems is a challenging problem. Such knowledge is typically elicited from domain experts or extracted from the c...
— We consider the task of accurately controlling a complex system, such as autonomously sliding a car sideways into a parking spot. Although certain regions of this domain are ex...
J. Zico Kolter, Christian Plagemann, David T. Jack...