Results 11 to 20 of about 9,690 (264)
Monte Carlo Concrete DropPath for epistemic uncertainty estimation in pollen images classification [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2021 The paper presents the results of a new method for training the NASNet neural network called Monte Carlo Concrete DropPath for epistemic uncertainty estimation to classify pollen images.
Natalia E. Khanzhina
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Epistemic Modality and Coordination under Uncertainty [PDF]
Electronic Proceedings in Theoretical Computer Science, 2021 Communication facilitates coordination, but coordination might fail if there's too much uncertainty. I discuss a scenario in which vagueness-driven uncertainty undermines the possibility of publicly sharing a belief. I then show that asserting an epistemic modal sentence, 'Might p', can reveal the speaker's uncertainty, and that this may improve the ...
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Looking at the posterior: accuracy and uncertainty of neural-network predictions
Machine Learning: Science and Technology, 2023 Bayesian inference can quantify uncertainty in the predictions of neural networks using posterior distributions for model parameters and network output.
Hampus Linander +3 more
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Epistemic Uncertainty Sampling [PDF]
, 2019 Various strategies for active learning have been proposed in the machine learning literature. In uncertainty sampling, which is among the most popular approaches, the active learner sequentially queries the label of those instances for which its current prediction is maximally uncertain.
Vu-Linh Nguyen +2 more
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Communicating uncertainty about facts, numbers and science [PDF]
Royal Society Open Science, 2019 Uncertainty is an inherent part of knowledge, and yet in an era of contested expertise, many shy away from openly communicating their uncertainty about what they know, fearful of their audience's reaction.
Anne Marthe van der Bles +6 more
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JOINT ESTIMATION OF DEPTH AND ITS UNCERTAINTY FROM STEREO IMAGES USING BAYESIAN DEEP LEARNING [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 The necessity to identify errors in the context of image-based 3D reconstruction has motivated the development of various methods for the estimation of uncertainty associated with depth estimates in recent years.
M. Mehltretter
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Handling epistemic and aleatory uncertainties in probabilistic circuits [PDF]
Machine Learning, 2022 Under submission to ...
Federico Cerutti 0001 +3 more
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The Role of Uncertainty in Models of Epistemic Curiosity
Современная зарубежная психология, 2022 The psychological research strategies of studying epistemic curiosity traditionally consider four factors of motivation to search for new information: the degree of familiarity with the subject, the expected value of information, the cultural ...
A.V. Golubinskaya
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Robustness-based portfolio optimization under epistemic uncertainty
Journal of Industrial Engineering International, 2018 In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data ...
Md. Asadujjaman, Kais Zaman
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Using Explainable AI to Measure Feature Contribution to Uncertainty
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 The application of artificial intelligence techniques in safety-critical domains such as medicine and self-driving vehicles has raised questions regarding its trustworthiness and reliability.
Katherine Elizabeth Brown +1 more
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