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en:start [2023/12/12 16:09] tdenoeuxen:start [2024/03/13 09:34] (current) tdenoeux
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   * Version 1.0.1 of the R package [[https://CRAN.R-project.org/package=evreg |evreg]] has been released on CRAN. This new package implements the 'Evidential Neural Network for Regression' (ENNreg) model recently introduced in [[https://www.techrxiv.org/articles/preprint/Quantifying_Prediction_Uncertainty_in_Regression_using_Random_Fuzzy_Sets_the_ENNreg_model/21791831/1|Denoeux (2023a)]]. In this model, prediction uncertainty is quantified by Gaussian random fuzzy numbers as introduced in [[https://doi.org/10.1016/j.fss.2022.06.004|Denoeux (2023b)]]. The package contains functions for training the network, tuning hyperparameters by cross-validation or the hold-out method, and making predictions. It also contains utilities for making calculations with Gaussian random fuzzy numbers (such as, e.g., computing the degrees of belief and plausibility of an interval, or combining Gaussian random fuzzy numbers).   * Version 1.0.1 of the R package [[https://CRAN.R-project.org/package=evreg |evreg]] has been released on CRAN. This new package implements the 'Evidential Neural Network for Regression' (ENNreg) model recently introduced in [[https://www.techrxiv.org/articles/preprint/Quantifying_Prediction_Uncertainty_in_Regression_using_Random_Fuzzy_Sets_the_ENNreg_model/21791831/1|Denoeux (2023a)]]. In this model, prediction uncertainty is quantified by Gaussian random fuzzy numbers as introduced in [[https://doi.org/10.1016/j.fss.2022.06.004|Denoeux (2023b)]]. The package contains functions for training the network, tuning hyperparameters by cross-validation or the hold-out method, and making predictions. It also contains utilities for making calculations with Gaussian random fuzzy numbers (such as, e.g., computing the degrees of belief and plausibility of an interval, or combining Gaussian random fuzzy numbers).
   * The [[https://www.bfasociety.org/BFTA2023/|6th School on Belief Functions and their Applications]] took place from Oct. 27 to Nov 1 at the Japan Advanced Institute of Science and Technology, Ishikawa, Japan. (The slides can be downloaded from the school homepage).   * The [[https://www.bfasociety.org/BFTA2023/|6th School on Belief Functions and their Applications]] took place from Oct. 27 to Nov 1 at the Japan Advanced Institute of Science and Technology, Ishikawa, Japan. (The slides can be downloaded from the school homepage).
-  * The [[https://bfasociety.org/Belief2024|8th International Conference on Belief Functions]] will be held in Belfast, United Kingdom, on September 4-6, 2024.+  * The [[https://bfasociety.org/Belief2024|8th International Conference on Belief Functions]] will be held in Belfast, United Kingdom, on September 2-4, 2024.
  
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