Feature and language selection in temporal symbolic regression for interpretable air quality modelling
Air quality modelling that relates meteorological, car traffic, and pollution data is a
fundamental problem, approached in several different ways in the recent literature. In …
fundamental problem, approached in several different ways in the recent literature. In …
Fuzzy Halpern and Shoham's interval temporal logics
The most representative interval temporal logic, called HS, was introduced by Halpern and
Shoham in the nineties. Recently, HS has been proposed as a suitable formalism for …
Shoham in the nineties. Recently, HS has been proposed as a suitable formalism for …
Nuovi metodi matematici e informatici per l'ottimizzazione dello studio e dello sfruttamento di risorse naturali
E LUCENA SANCHEZ - 2022 - iris.unimore.it
Problems with data that have a natural origin require specific data analysis techniques. In
this thesis we develop new mathematical and computer science models to work, specifically …
this thesis we develop new mathematical and computer science models to work, specifically …
[PDF][PDF] Temporal Symbolic Regression
E Lucena-Sánchez, G Sciav-icco, IE Stan - Algorithms, 2021 - sfera.unife.it
Air quality modelling that relates meteorological, car traffic, and pollution data is a 1
fundamental problem, approached in several different ways in the recent literature. In …
fundamental problem, approached in several different ways in the recent literature. In …
Foundations of modal symbolic learning
IE Stan - 2023 - repository.unipr.it
Traditional symbolic learning is the sub-field of machine learning that aims to learn symbolic
models from structured data, representing propositional logic theories, and its investigation …
models from structured data, representing propositional logic theories, and its investigation …