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Titlebook: Artificial Intelligence Applications and Innovations; 17th IFIP WG 12.5 In Ilias Maglogiannis,John Macintyre,Lazaros Iliadis Conference pro

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樓主: GALL
11#
發(fā)表于 2025-3-23 13:05:13 | 只看該作者
Socialist Legal Experts: A New Profession?utomaton (OMA) and its proposed enhancements, which include the Pursuit and Transitivity phenomena, can solve problems with equi-sized partitions. Currently, these solutions also include one where the partition sizes possess a Greatest Common Divisor (GCD). In this paper, we propose an OMA-based sol
12#
發(fā)表于 2025-3-23 16:11:06 | 只看該作者
13#
發(fā)表于 2025-3-23 21:06:54 | 只看該作者
Conclusion: The Strength of Epistemic Hopes,n order to function properly in the long term. We thus isolate a set of perturbations that agents ought to address and demonstrate how task-agnostic perturbation detection and mitigation mechanisms can be integrated into a cognitive robotic architecture. We present results from experimental evaluati
14#
發(fā)表于 2025-3-24 00:36:55 | 只看該作者
https://doi.org/10.1007/978-3-030-79150-6artificial intelligence; computational linguistics; computer networks; data mining; databases; image proc
15#
發(fā)表于 2025-3-24 05:28:25 | 只看該作者
16#
發(fā)表于 2025-3-24 10:22:39 | 只看該作者
IFIP Advances in Information and Communication Technologyhttp://image.papertrans.cn/b/image/162104.jpg
17#
發(fā)表于 2025-3-24 14:42:06 | 只看該作者
18#
發(fā)表于 2025-3-24 18:03:24 | 只看該作者
Conference proceedings 2021ons, AIAI 2021, held virtually and in Hersonissos, Crete, Greece, in June 2021..The 50 full papers and 11 short papers presented were carefully reviewed and selected from 113 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence s
19#
發(fā)表于 2025-3-24 22:28:06 | 只看該作者
20#
發(fā)表于 2025-3-24 23:52:19 | 只看該作者
Seeking Consensus in the Social Sciencesn tree, random forest, lasso, ridge, and SVM-RFE. Ten well-known microarray datasets are tested. Obtained results show the outperformance of SVM-RFE in term of accuracy, and comes in the second position after decision tree in terms of number of selected features and execution time.
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