Underrated But Interesting ML Concepts #4 – EDL, iDistance, ME & CN2

Some fascinating machine learning concepts aren't covered nearly as much as they should be. In this article, we'll look at a few of them, including Error-Driven Learning, iDistance, Mixture of experts, and CN2 algorithm. Error-Driven Learning For several decades, error-driven learning models have been widely used in the disciplines of animal and human learning. Error-driven learning processes are at the heart of today's most popular AI systems based on artificial neural networks and have become the dominating strategy in machine learning research. Error-driven learning (also known as discrimination learning) simulates the learning process over time. Error-driven learning mechanisms were first introduced into cognitive research to provide a formalisation for the results of early cl