AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This study presents a clear and reliable framework for classifying the intent behind scientific citations that combines multi-model reasoning with concepts from social choice theory, and enhances interpretability.
Schema matching plays a crucial role in data integration by aligning attributes from heterogeneous data sources. However, traditional approaches often fail to capture semantic relationships between attributes with different naming conventions. To address this limitation, we propose SchemaML, a supervised machine learni...
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