https://gw0742agonist.com/inte....rmediate-scale-resea
Additive index models (AIMs) are akin to artificial neural networks, employing nonparametric activation functions, or ridge functions. The incorporation of diverse interpretability constraints has, recently, been observed to improve the explainability they demonstrate. Despite the theoretical possibility of using either the backfitting algorithm or the joint stochastic optimization approach for AIM training
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