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Article card for The Hidden Architecture of AI Memory: memory is selection - an architecture deciding what gets remembered.
AI generated collage of The robots are rising. (The robots are rising, old colour photograph, 80s early photography, daguerreotype, calotype, ambrotype, detailed, vignetting, hd, ultrahd)@visplastica.com #AIart #GenerativeArt #MachineLearning #jetsonnano
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Figure 1: Illustration of the Walk-Forward Estimation Procedure This figure illustrates the walk-forward estimation procedure used to generate out-of-sample forecasts. For each test year t, the model is estimated on the two preceding years, t −3 and t−2 (Train), hyperparameters are tuned on the validation year t −1 (Val.), and the resulting model is evaluated on the test year t (Test). The four-year window then advances by one year, so that the training and validation years used in iteration two are the test and validation years of iteration one shifted forward, and the procedure repeats across the full sample period. This design ensures that every prediction for year t relies exclusively on information available prior to that year.
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