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https://www.dagstuhl.de/en/seminars/seminar-calendar/seminar-details/11371 Dagstuhl Seminar 11371: Uncertainty modeling and analysis with intervals: Foundations, tools,... dagstuhl seminar uncertainty modeling 11371 https://arxiv.org/abs/2406.12082 [2406.12082] Uncertainty modeling for fine-tuned implicit functions Abstract page for arXiv paper 2406.12082: Uncertainty modeling for fine-tuned implicit functions uncertainty modeling fine tuned 2406 12082 implicit https://www.omg.org/spec/PSUM/machine-readable Machine Readable files of Precise Semantics for Uncertainty Modeling Specification Machine Readable files of Precise Semantics for Uncertainty Modeling Specification machine readable files uncertainty modeling precise semantics specification https://openreview.net/forum?id=KLBD13bsVl The Interplay of Uncertainty Modeling and Deep Active Learning: An Empirical Analysis in Image... Deep active learning (AL) seeks to reduce the annotation costs required for training deep neural networks (DNNs). Often, deep AL strategies focus on instances... https://arxiv.org/abs/2312.05851 [2312.05851] Copula modeling and uncertainty propagation in field-scale simulation of CO$_2$ fault... Abstract page for arXiv paper 2312.05851: Copula modeling and uncertainty propagation in field-scale simulation of CO$_2$ fault leakage https://www.mail-archive.com/simstds@larc.nasa.gov/msg00006.html Uncertainty modeling uncertainty modeling https://www.econstor.eu/handle/10419/110982 EconStor: Agent-based modeling for decision making in economics under uncertainty EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. agent based modeling decision making econstor https://arxiv.org/abs/2601.05227 [2601.05227] Stochastic Deep Learning: A Probabilistic Framework for Modeling Uncertainty in... Abstract page for arXiv paper 2601.05227: Stochastic Deep Learning: A Probabilistic Framework for Modeling Uncertainty in Structured Temporal Data deep learning https://www.nber.org/papers/w29716 Minimax-Regret Climate Policy with Deep Uncertainty in Climate Modeling and Intergenerational... Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings... minimax regret climate policy https://jmlr.org/papers/v27/23-1465.html Exploring Novel Uncertainty Quantification through Forward Intensity Function Modeling uncertainty quantification intensity function exploring novel forward https://www.nist.gov/publications/uncertainty-multi-scale-creep-rupture-life-modeling-and-new-approach-estimating UNCERTAINTY IN MULTI-SCALE CREEP RUPTURE LIFE MODELING AND A NEW APPROACH TO ESTIMATING FREQUENCY... May 18, 2020 - Uncertainty in modeling the creep rupture life of a full-scale component using experimental data at microscopic (Level 1), specimen (Level 2), and full-size (Le https://www.atlantis-press.com/proceedings/iceep-17/25883700 A Methodology for modeling Wastewater Treatment Process based on Uncertainty Theory | Atlantis Press Wastewater treatment is a complicated dynamic process affected by microbial, chemical and physical factors. These variables are always uncertain. Due to the... wastewater treatment process https://www.amazon.science/publications/mispronunciation-detection-in-non-native-l2-english-with-uncertainty-modeling Mispronunciation detection in non-native (L2) English with uncertainty modeling - Amazon Science A common approach to the automatic detection of mispronunciation in language learning is to recognize the phonemes produced by a student and compare it to the... https://pydata.org/berlin2017/schedule/presentation/47/ PyData Berlin 2017 - Presentation: Polynomial Chaos: A technique for modeling uncertainty berlin 2017 polynomial chaos presentation https://arxiv.org/abs/2508.03890 [2508.03890] Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural... Abstract page for arXiv paper 2508.03890: Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes https://openreview.net/forum?id=T1n3ri92Qk DAOpt: Modeling and Evaluation of Data-Driven Optimization under Uncertainty with LLMs | OpenReview Recent advances in large language models (LLMs) have accelerated research on automated optimization modeling. While real-world decision-making is inherently... https://www.amazon.science/publications/quantifying-uncertainty-with-probabilistic-machine-learning-modeling-in-wireless-sensing Quantifying uncertainty with probabilistic machine learning modeling in wireless sensing - Amazon... The application of machine learning (ML) techniques in wireless communication domain has seen a tremendous growth over the years especially in the wireless... machine learning wireless sensing uncertainty probabilistic https://www.atlantis-press.com/proceedings/smtesm-19/125917611 Modeling The Efficiency Of Implementation Of Energy Saving Policy At Enterprises Under Uncertainty... In the article a mathematical model of the intellectual support of decision making for the evaluation of the efficiency of implementation and operation of... energy saving https://ideas.repec.org/a/tpr/restat/v102y2020i1p17-33.html Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors Downloadable (with restrictions)! We estimate uncertainty measures for point forecasts obtained from survey data, pooling information embedded in observed... modeling time varying uncertainty multiple