Description: This session will cover Symbolic AI, which is a vast research field operating human-readable knowledge representations. In particular, we will focus on Pattern Structures formalism that provides a unified language to efficiently mine patterns in tables containing numbers, categories, ngrams, graphs, and other types of data. Such patterns can then be used for mining explainable-by-design implications, clusterings, and multiclass classifiers.
The hand-on-section will explore a novel Paspailleur Python package (developed in Loria, set to release in May 2025) that can solve all aforementioned tasks for all aforementioned data.
Date: 17 June 14:00 - 14:50 (Theory) / 14:50 - 15:10 (Coffee Break) / 15:10 - 16:00 (Hands-on Lab)
Instructor: Egor Dudyrev, Ph.D. Candidate
Where? Nancy-Salle A008 Jean Legras
Certificates of participation available under request!
The tutorial will be held in English.
There are 5 questions in this survey.
