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Titlebook: Belief Functions: Theory and Applications; 7th International Co Sylvie Le Hégarat-Mascle,Isabelle Bloch,Emanuel Al Conference proceedings 2

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31#
發(fā)表于 2025-3-26 21:58:23 | 只看該作者
Evidential Regression by?Synthesizing Feature Selection and?Parameters Learning these two functions, an evaluation function for the significance of the features to be selected is proposed, which contains two terms, one for evaluating the impact of the feature to be selected on the prediction accuracy and one for evaluating the redundancy between it and the already selected fea
32#
發(fā)表于 2025-3-27 04:46:40 | 只看該作者
33#
發(fā)表于 2025-3-27 07:10:36 | 只看該作者
Belief Functions on?Ordered Frames of?Discernment discernment consisting of ordered elements on belief functions. This leads us to redefine the power space and the union of ordered elements for the disjunctive combination. We also study distances on ordered elements and their use. In particular, from a membership function, we redefine the cardinal
34#
發(fā)表于 2025-3-27 12:59:14 | 只看該作者
35#
發(fā)表于 2025-3-27 17:08:53 | 只看該作者
Heterogeneous Image Fusion for?Target Recognition Based on?Evidence Reasoning to improve the classification performance. In this paper, we propose a new end-to-end framework for heterogeneous (i.e. visible & infrared) image fusion target recognition (HIFTR). Firstly, two networks are built for the visible and infrared images respectively and jointly trained based on mutual l
36#
發(fā)表于 2025-3-27 21:23:47 | 只看該作者
37#
發(fā)表于 2025-3-27 22:03:51 | 只看該作者
38#
發(fā)表于 2025-3-28 03:00:56 | 只看該作者
A Distributional Approach for?Soft Clustering Comparison and?Evaluation
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發(fā)表于 2025-3-28 08:50:34 | 只看該作者
40#
發(fā)表于 2025-3-28 11:16:05 | 只看該作者
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