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Artificial intelligence and machine learning; Communication and society; Cultural heritage, humanities and archives; Data management, analysis and visualization ... Computer Science > Machine Learning. arXiv:2501.09327 (cs). [Submitted on 16 Jan 2025 (v1), last revised 17 Jan 2025 (this version, v2)] ... Jan 5, 2024 ... This study adopts multi-modal machine learning to deeply interpret corporate non-financial information and explore the influence of corporate leverage ... In addition, emergency-related information posted on social media during health emergencies is our boundary condition. NLP, text mining, and machine learning ... Nov 7, 2013 ... Machine learning is a form of parametric optimization whose links with information theory are clear thus evolving. The problem is that this link ... Publishing Informational Texts PowerPoint offers Lesson, Publishing Informational ... Free AI Machine and Deep Learning Presentation Template Free. Complete ... Threat, intrusion and anomaly detection for cloud security; Vulnerability detection and remediation using AI; Incident response using AI; Reinforcement learning ... Dec 21, 2023 ... Artificial Intelligence (AI) works by simulating human intelligence through the use of algorithms, data, and computational power. The goal is to ... Jun 23, 2022 ... Machine learning involves sophisticated algorithms which can be trained to sort information, identify patterns, and make predictions within large sets of data. Key network metrics and information-theoretic measures were extracted to classify PD patients and healthy controls (HC), using deep learning models, with ...
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