Abstract. This paper reports on a novel recurrent fuzzy classification method for robust detection of context activities in an environment using.
This paper reports on a novel recurrent fuzzy classification method for robust detection of context activities in an environment using either single or ...
We show that we are able to improve robustness of detection using our novel recurrent fuzzy classifier in combination with uncertainty measures by ~30% on ...
Abstract. This paper reports on a novel recurrent fuzzy classification method for robust detection of context activities in an environment using.
Apr 28, 2021 · Increased Robustness in Context Detection and Reasoning using Uncertainty Measures - Concept and Application ; IBR Group(s), DUS (Prof. Beigl).
Increased Robustness in Context Detection and Reasoning Using Uncertainty Measures: Concept and Application. Berchtold, Martin; Beigl, Michael. Externe Links.
Increased Robustness in Context Detection and Reasoning using Uncertainty Measures - Concept and Application ; IBR Autor(en), Dr. Martin Berchtold, Prof. Dr.-Ing ...
In this paper, we present the different steps we went through to integrate the notion of uncertainty in a context aware system; starting from the uncertainty ...
This repository, called UR2-LLMs contains a collection of resources and papers on Uncertainty, Reliability and Robustness in Large Language Models.
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Berchtold, M., Beigl, M.: Increased robustness in context detection and reasoning using uncertainty measures - concept and application. Proceedings of the ...