31 citations · 64 across the 6 of their papers we have counts for
3 papers · 1 filter
Semantic Space Search Trajectory Networks
Julian Agudelo, Alberto Tonda, Gabriela Ochoa +3
Search Trajectory Networks (STNs) are a graph-based tool for visualizing and characterizing the behavior of optimization algorithms. STNs' reliance on discretization of the search…
Modeling Generalization in Machine Learning: A Methodological and Computational Study
Pietro Barbiero, Giovanni Squillero, Alberto Tonda
As machine learning becomes more and more available to the general public, theoretical questions are turning into pressing practical issues. Possibly, one of the most relevant conc…
Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms
Pietro Barbiero, Giovanni Squillero, Alberto Tonda
A coreset is a subset of the training set, using which a machine learning algorithm obtains performances similar to what it would deliver if trained over the whole original data. C…