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Titlebook: Making the Middle-class City; The Politics of Gent Willem Boterman,Wouter van Gent Book 2023 The Editor(s) (if applicable) and The Author(s

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21#
發(fā)表于 2025-3-25 03:36:33 | 只看該作者
22#
發(fā)表于 2025-3-25 08:05:24 | 只看該作者
Conclusion,s in Amsterdam, but this ascendancy has unfolded with an urban political agenda fostering economic and demographic growth, including promoting gentrification co-existing with social justice agendas. It is exactly this peculiar combination (growth and social justice) that is inherent in Amsterdam’s m
23#
發(fā)表于 2025-3-25 13:50:26 | 只看該作者
o address the problem of mining large numbers of redundant subgroups, subgroup set discovery (SSD) has been proposed. State-of-the-art SSD methods have their limitations though, as they typically heavily rely on heuristics and/or user-chosen hyperparameters..We propose a dispersion-aware problem for
24#
發(fā)表于 2025-3-25 16:16:34 | 只看該作者
Willem Boterman,Wouter van Gentointly learn the underlying clusters and the latent representation directly from unstructured datasets. However, DC methods are generally poorly applied due to high operational costs, low scalability, and unstable results. In this paper, we first evaluate several popular DC variants in the context o
25#
發(fā)表于 2025-3-25 22:17:41 | 只看該作者
26#
發(fā)表于 2025-3-26 01:10:38 | 只看該作者
27#
發(fā)表于 2025-3-26 07:39:34 | 只看該作者
28#
發(fā)表于 2025-3-26 12:00:10 | 只看該作者
Willem Boterman,Wouter van Genty in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022..The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions...The volumes are organi
29#
發(fā)表于 2025-3-26 15:53:06 | 只看該作者
Willem Boterman,Wouter van Gentinput. Where available (such as some robotic control domains), low dimensional vector inputs outperform their image based counterparts, but it is challenging to represent complex dynamic environments in this manner. Relational reinforcement learning instead represents the world as a set of objects a
30#
發(fā)表于 2025-3-26 17:11:26 | 只看該作者
Willem Boterman,Wouter van Gentinput. Where available (such as some robotic control domains), low dimensional vector inputs outperform their image based counterparts, but it is challenging to represent complex dynamic environments in this manner. Relational reinforcement learning instead represents the world as a set of objects a
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