From Bayesian Inference to Neural Computation: The Inevitable Emergence of Neurons in Probabilistic Search
"The theory of probabilities is at bottom nothing but common sense reduced to calculus." — Pierre-Simon Laplace, Théorie analytique des probabilités, 1812 1. Introduction In a previous essay, we explored how BM25 scores can be transformed into calibrated probability estimates through a sigmoid-based Bayesian framework, and how the parameters