A Theory of the Mechanics of Information: Generalization Through Measurement of Uncertainty (Learning is Measuring)

Christopher J. Hazard, Michael Resnick, Jacob Beel +7

Traditional machine learning relies on explicit models and domain assumptions, limiting flexibility and interpretability. We introduce a model-free framework using surprisal (infor…