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Titlebook: Machine Learning, Optimization, and Data Science; 6th International Co Giuseppe Nicosia,Varun Ojha,Renato Umeton Conference proceedings 202

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樓主: Malevolent
41#
發(fā)表于 2025-3-28 15:09:52 | 只看該作者
Sergio Consoli,Luca Tiozzo Pezzoli,Elisa Tosettice against the instrumental, rational management of them. It is underpinned by Turner’s (Rice Institute Pamphlet-Rice University Studies 60:53–92, 1974) liminal and liminoid, subjective place experience (Lefebvre in Rhythmanalysis: Space, time and everyday life. Continuum, London, 2004; Tuan in Spac
42#
發(fā)表于 2025-3-28 18:44:44 | 只看該作者
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發(fā)表于 2025-3-29 02:03:08 | 只看該作者
44#
發(fā)表于 2025-3-29 05:08:08 | 只看該作者
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發(fā)表于 2025-3-29 09:26:33 | 只看該作者
Machine Learning Application to Family Business Status Classification,k, both supervised and unsupervised machine learning techniques are applied to the analysis of a dataset made of both family and non-family firms. This is worth investigating, because the two kinds of firms typically differ in some aspects related to performance, which can be reflected in balance sh
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發(fā)表于 2025-3-29 11:51:54 | 只看該作者
47#
發(fā)表于 2025-3-29 19:10:14 | 只看該作者
48#
發(fā)表于 2025-3-29 20:48:53 | 只看該作者
An Application of Machine Learning to Study Utilities Expenses in the Brazilian Navy,nderstanding the variation of all the essential and common costs of those facilities proved to be a challenging and relevant task. This paper presents a machine learning approach to support the decision-making process based on data that represents several facilities attributes, where models were tra
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發(fā)表于 2025-3-30 03:46:29 | 只看該作者
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發(fā)表于 2025-3-30 06:00:23 | 只看該作者
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