Kullback–Leibler Divergence: Theory, Applications, and Implications
Kullback–Leibler divergence (KL divergence), also known as relative entropy, is a fundamental concept in statistics and information theory. It measures how one probability distribution diverges from a second, reference probability… Weiterlesen »Kullback–Leibler Divergence: Theory, Applications, and Implications