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Epistemic Probability: the Dempster-Shafer theory of evidence
1993We mentioned in Chapter 2 the distinction between subjective and objective probability; two different interpretations of essentially the same mathematical formalism. This sharing of the use of the word ‘probability’ in the naming of both interpretations has led to an unfortunate confounding of two different concepts. The development of the mathematical
Paul Krause, Dominic Clark
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Combining Evidence in the Extended Dempster-Shafer Theory
1990The Dempster-Shafer (D-S) theory of evidence generalizes Bayesian probability theory, by providing a coherent representation for ignorance (lack of evidence). However, uncertain relationships between evidence and hypotheses bearing on this evidence are difficult to represent in applications of the theory.
Jiwen Guan +2 more
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Using Dempster-Shafer Evidence Theory for Dialog State Tracking
2018 11th International Symposium on Chinese Spoken Language Processing (ISCSLP), 2018In a task oriented spoken dialogue system, the automatic speech recognition (ASR) and spoken language understanding (SLU) modules usually provide multiple uncertain results, which may be related or divergent. Previously, researchers used classical probability theory based approach to solve this problem, but it is difficult to handle results combination
Minglu Liu +4 more
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Models Based on the Dempster-Shafer Theory of Evidence
1991Like Bayesian approaches, the Dempster-Shafer theory of evidence aims to model and quantify uncertainty by degrees of belief. But in contrast to Bayesian approaches it permits assignment of degrees of belief to sets of hypotheses rather than to hypotheses in isolation.
Rudolf Kruse +2 more
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Interval Comparison Based on Dempster-Shafer Theory of Evidence
2004The problem of crisp and fuzzy interval (number) comparison is of perennial interest, because of its direct relevance in practical modeling and optimization of real-world processes under uncertainty. There are many approaches to this problem presented in literature, but in all cases the authors propose the methods which give the result of interval ...
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A Reliable Skin Detection Using Dempster-Shafer Theory of Evidence
2009Efficient skin detection can be considered as a primary work for so many vital applications in the image processing arena. For the last few years researchers have been trying in several ways to solve this problem. But most of the methods suffer from accuracy and reliability when applied to a variety of images.
Mohammad Shoyaib +2 more
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Enhanced Metric Learning via Dempster-Shafer Evidence Theory
2018Metric learning is a hot topic in machine learning. A proper learned metric can measure the similarity between samples better and hence significantly improves the performance of machine learning algorithm. In this paper, we propose a novel enhanced distance metric learning method via Dempster-Shafer (D-S) evidence theory.
Ying Li 0028, Yabo Zhang, Yaxin Peng
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Efficient GPU-algorithms for the combination of evidence in Dempster–Shafer theory
Future Generation Computer SystemsCombination rules in the Dempster–Shafer theory aim to summarize multiple corpuses of evidence that come from different sources. However, these summarizations are computationally demanding as they usually require working with large amounts of information, which prevents their use in real life problems.
Rico N., Troiano L., Diaz I.
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Dempster-Shafer evidence theory-application approach
AIP Conference Proceedings, 2023T. Haripriya +3 more
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Multimodal recommendation algorithm based on Dempster-Shafer evidence theory
Multimedia Tools and Applications, 2023Xiaole Wang, Jiwei Qin
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