Inductive Logic Programming: The Basics, and Modern Approaches to Symbolic Learning

Description

Over the last decade, machine learning has become synonymous with statistical learning methods, in contrast to the research environment of the 90s where symbolic approaches dominated. One of these approaches was inductive logic programming (ILP) which attempts to formulate explanatory hypotheses as a logic programs for given evidence, built upon relevant background knowledge. While not limited to, ILP is a form of program synthesis. In light of recent advances in theory and solver technology, ILP is back in the spotlight, promising an alternative approach that generalizes well and is data lean. During this talk, we will discuss the foundations of ILP and take a glimpse at the recent developments pushing ILP back to the forefront of machine learning research.

Period	13 Jul 2022
Event title	Kutaisi International University Annual Conference 2022
Event type	Conference
Location	GeorgiaShow on map