Lecturer: akad. prof. dr. Ivan Bratko
Course overview (part 2):
Inductive Logic Programming (ILP) is an approach to machine learning in which learned descriptions are represented in logic, typically in predicate logic.This is the most expressive hypothesis language among all the approaches to machine learning. ILP also makes use of “background knowledge”, that is knowledge that is known to the learning program before learning begins. Some basic methods of ILP will be discussed.
See presentation files for all lectures.