2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/172622In this report, we derive a non-negative series expansion for the Jensen-Shannon divergence (JSD) between two probability distributions. This series expansion is shown to be useful for numerical calculations of the JSD, when the probability distributions are nearly equal, and for which, consequently, small numerical errors dominate evaluation.4 page technical report, 2 figuresMachine LearningA non-negative expansion for small Jensen-Shannon Divergencestext