I. Styles

This standard approach to process mining, built on the stochastic language of an event log, reports only the assumptions of its discovery algorithm, because every such log is explained equally well by a model with no concurrency at all.

Information gain offers a theoretically sound and interpretable way to directly assess the quality of predicted posterior distributions in virtual staining, revealing performance differences missed by traditional evaluation metrics.