no code implementations • 1 Feb 2024 • Sarwan Ali, Pablo Moscato
We present a memetic algorithm (\maa) approach for finding a Hamiltonian cycle in a Hamiltonian graph.
no code implementations • 13 Apr 2021 • Pablo Moscato, Hugh Craig, Gabriel Egan, Mohammad Nazmul Haque, Kevin Huang, Julia Sloan, Jon Corrales de Oliveira
In this study, we took a set of Shakespeare-era plays (181 plays from the period 1585--1610), added the best-guess dates for them from a standard reference work as metadata, and calculated a set of probabilities of individual words in these samples.
no code implementations • 27 Nov 2020 • Pablo Moscato, Mohammad Nazmul Haque, Kevin Huang, Julia Sloan, Jon C. de Oliveira
We refer to $S$ as the training set and aim to identify a low-complexity mathematical model that can effectively approximate this target function for new instances $\mathbf{x}$.
no code implementations • 18 Dec 2019 • Pablo Moscato, Haoyuan Sun, Mohammad Nazmul Haque
We present an approach for regression problems that employs analytic continued fractions as a novel representation.
no code implementations • 2 Apr 2018 • Claudio Sanhueza, Francia Jiménez, Regina Berretta, Pablo Moscato
We propose mQAPViz, a divide-and-conquer multi-objective optimization algorithm to compute large-scale data visualizations.
1 code implementation • 27 Jun 2017 • Claudio Sanhueza, Francia Jimenez, Regina Berretta, Pablo Moscato
Multi-Objective Evolutionary Algorithms (MOEAs) have been extensively used to address MOPs because are able to approximate a set of non-dominated high-quality solutions.
1 code implementation • 15 Jun 2017 • Shannon Fenn, Pablo Moscato
This improvement increases as the loss places more emphasis on target order and is strongly correlated with an easy-to-hard curricula.
no code implementations • 12 Apr 2016 • Giuseppe Lancia, Luke Mathieson, Pablo Moscato
We study the complexity of the problem of searching for a set of patterns that separate two given sets of strings.