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Titlebook: Conformal and Probabilistic Prediction with Applications; 5th International Sy Alexander Gammerman,Zhiyuan Luo,Vladimir Vovk Conference pro

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41#
發(fā)表于 2025-3-28 15:01:17 | 只看該作者
42#
發(fā)表于 2025-3-28 21:07:40 | 只看該作者
Hidden Markov Models with Confidenceur attention is focused to applications that require a list of potential sequences as a prediction. We propose a novel method based on Conformal Prediction (CP) that, for an arbitrary confidence level ., produces a list of candidate sequences that contains the correct sequence of hidden states with
43#
發(fā)表于 2025-3-28 23:53:27 | 只看該作者
44#
發(fā)表于 2025-3-29 04:16:27 | 只看該作者
Effective Design for Sobol Indices Estimation Based on Polynomial Chaos Expansionstput of the analyzed mathematical model. We consider a problem of selection of experimental design points for Sobol’ indices estimation. Based on the concept of .-optimality, we propose a method for constructing an adaptive design of experiments, effective for the calculation of Sobol’ indices from
45#
發(fā)表于 2025-3-29 07:54:25 | 只看該作者
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發(fā)表于 2025-3-29 11:24:55 | 只看該作者
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發(fā)表于 2025-3-29 17:48:53 | 只看該作者
Extended Regression on Manifolds Estimationality q?
48#
發(fā)表于 2025-3-29 22:04:05 | 只看該作者
49#
發(fā)表于 2025-3-30 00:21:12 | 只看該作者
Conformal Prediction of Disruptions from Scratch: Application to an ITER Scenarioess rate (rate of disruptions predicted correctly) increases and the false alarm rate (rate of non-disruptive discharges misclassified) decreases, using conformal prediction (CP) rather than conventional methodology from scratch. CP from scratch achieves a success rate of . with the first model and only one disruptive discharge.
50#
發(fā)表于 2025-3-30 07:17:29 | 只看該作者
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