New Information Theory (DLITE) exhibiting properties as an information-theoretic measure and as a metric distance function, including triangular inequality.
Machine learning, deep reinforcement learning, training and fine tuning with DLITE loss.
The definition and measurement of information is fundamental to methods for information retrieval, text mining, and machine learning.