Graph Based Concept Learning
Jesús A. González, Lawrence B. Holder, Diane J. Cook · 2000
Concept Learning is a Machine Learning technique in which the learning process is driven by providing positive and negative examples to the learner. From those examples, the learner builds a hypothesis (concept) that describes the positive examples and excludes the negative examples. Inductive Logic Programming (ILP) systems have