AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Cross-channel modeling is central to multivariate time-series forecasting, yet channels that are statistically related, predictively useful, and actually used by a trained forecaster are often treated as if they defined the same notion of importance. We show that they need not coincide. Cross-channel dependency structu...
Predictive Relevance Retrieval (PRR) combines Pearson retrieval with a futuresupervised predictive representation to expand candidate support, then reranks the union using statistical and learned pair relations to show that predictive relevance and forecast utility are empirically distinct objectives.
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