Mutual information is a popular metric in machine learning. In case of discrete target variable and continuous feature the mutual can be calculated as sum-integral weighted log likelihood ratio joint marginal density distributions. However, practice true distributions are unavailable only finite sample population given. this paper, we propose novel method for calculating variables using populat...

The pointwise mutual information quantifies the mutual information between events x and y from random variable X and Y . This article considers the pointwise mutual information in a directed sense, examining precisely how an event y provides information about x via probability mass exclusions. Two distinct types of exclusions are identified—namely informative and misinformative exclusions. Then...