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Titlebook: Machine Learning and Knowledge Extraction; 4th IFIP TC 5, TC 12 Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2020

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樓主: ATE
41#
發(fā)表于 2025-3-28 15:24:22 | 只看該作者
Jiawen Lyn,Sen Yane kan in het gedrang komen. Toch zoeken mensen met een eetprobleem zelden professionele hulp. Dat is jammer, want het is goed mogelijk om van een eetstoornis af te komen. In "Leven met een eetstoornis" laten Anita Jansen en Hermien Elgersma zien wat je kunt doen om van je eetprobleem af te komen. Me
42#
發(fā)表于 2025-3-28 21:31:22 | 只看該作者
43#
發(fā)表于 2025-3-29 02:39:22 | 只看該作者
Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions,herence on a vision and challenges is itself a challenge. At least two sometimes complementary and colliding threads have emerged. The first focuses on the development of pragmatic tools for increasing the transparency of automatically learned prediction models, as for instance by deep or reinforcem
44#
發(fā)表于 2025-3-29 07:09:36 | 只看該作者
The Explanation Game: Explaining Machine Learning Models Using Shapley Values,lar among these are techniques that apply the Shapley value method from cooperative game theory. While existing papers focus on the axiomatic motivation of Shapley values, and efficient techniques for computing them, they offer little justification for the game formulations used, and do not address
45#
發(fā)表于 2025-3-29 10:34:38 | 只看該作者
Back to the Feature: A Neural-Symbolic Perspective on Explainable AI,itional end-to-end learning approach used to train Deep Learning (DL) models does not fit the tenets and aims of XAI. Going back to the idea of hand-crafted feature engineering, we suggest a hybrid DL approach to XAI: instead of employing end-to-end learning, we suggest to use DL for the automatic d
46#
發(fā)表于 2025-3-29 14:30:49 | 只看該作者
47#
發(fā)表于 2025-3-29 18:21:13 | 只看該作者
48#
發(fā)表于 2025-3-29 20:09:07 | 只看該作者
49#
發(fā)表于 2025-3-30 02:14:56 | 只看該作者
50#
發(fā)表于 2025-3-30 04:25:39 | 只看該作者
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