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Any time probabilistic reasoning for sensor validation (1998)
Presentation / Conference
Ibarguengoytia, P., Sucar, E., & Vadera, S. (1998, March). Any time probabilistic reasoning for sensor validation. Presented at Fourteenth Conference on Uncertainty in Artificial Intelligence, University of Wisconsin Business School, Madison, Wisconsin, USA

For many real time applications, it is important to validate the information received form the sensors before entering higher levels of reasoning. This paper presents an any time probabilistic algorithm for validating the information provided by sens... Read More about Any time probabilistic reasoning for sensor validation.

A probabilistic examplar based model (1998)
Thesis
Rodriguez Martinez, A. A probabilistic examplar based model. (Thesis). University of Salford

A central problem in case based reasoning (CBR) is how to store and retrieve cases. One approach to this problem is to use exemplar based models, where only the prototypical cases are stored. However, the development of an exemplar based model (EB... Read More about A probabilistic examplar based model.