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Titlebook: Conceptual Knowledge Structures; First International Inma P. Cabrera,Sébastien Ferré,Sergei Obiedkov Conference proceedings 2024 The Edito

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樓主: 萌芽的心
31#
發(fā)表于 2025-3-26 21:22:44 | 只看該作者
32#
發(fā)表于 2025-3-27 03:17:54 | 只看該作者
Epilogue: A Different Kind of Slaveryferent. In this paper, we compare these two approaches on a common basis, considering only unary and binary relations for GCA and the existential quantifier for RCA. We focus on examples showing the similarities and dissimilarities between both methods, and highlighting how cycles are processed differently by RCA and GCA.
33#
發(fā)表于 2025-3-27 09:09:33 | 只看該作者
34#
發(fā)表于 2025-3-27 10:34:52 | 只看該作者
35#
發(fā)表于 2025-3-27 14:26:22 | 只看該作者
American Women‘s Regionalist Fictionith highly specific purpose-built artefacts. We adopt G?rdenfors’s Conceptual Spaces as a cognitively-motivated knowledge representation framework and apply our typicality quantification model in a use case on interpretable classification of manufacturing artefacts.
36#
發(fā)表于 2025-3-27 18:10:25 | 只看該作者
37#
發(fā)表于 2025-3-27 23:33:34 | 只看該作者
Conceptual Knowledge Modelling for?Human-AI Teaming in?Data-Frugal Industrial Environmentsith highly specific purpose-built artefacts. We adopt G?rdenfors’s Conceptual Spaces as a cognitively-motivated knowledge representation framework and apply our typicality quantification model in a use case on interpretable classification of manufacturing artefacts.
38#
發(fā)表于 2025-3-28 02:47:41 | 只看該作者
39#
發(fā)表于 2025-3-28 08:47:53 | 只看該作者
Conference proceedings 2024 in Cádiz, Spain, during September 9-13, 2024. The conference is an amalgamation of the?18th International Conference on Formal Concept Analysis (ICFCA); the 17th International Conference on Concept Lattices and Their Applications (CLA); and the 28th International Conference on Conceptual Structures
40#
發(fā)表于 2025-3-28 13:00:15 | 只看該作者
What is the?, Dimension of?Your Binary Data?—and?How to?Compute it Quicklyovel approximation for this ID that is based on computing concepts only up to a certain support value. We demonstrate and evaluate our approximation using all available datasets from Tatti et al., which have between 469 and 41271 extrinsic dimensions. (Source code and more figures are available at .).
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