Kernel-Based Methods: Milestones and New Trends - Rilegato

De Marchi, Stefano; Marchetti, Francesco; Perracchione, Emma

Rilegato

ISBN 10: 100976912X ISBN 13: 9781009769129

Casa editrice: Cambridge University Press, 2026

Riassunto

Kernel methods remain a vibrant research area: this text carefully guides readers from foundational concepts to current research trends.

Su questo libro

Informazioni sugli autori

Stefano De Marchi is Full Professor of Numerical Analysis at the University of Padova. He has authored more than 150 publications and is the managing editor of the open-access journal Dolomites Research Notes on Approximation. He is the founder of the Italian Network on Approximation and one of the discoverers of the so-called Padua points.

Francesco Marchetti is Assistant Professor of Numerical Analysis at the University of Padova. His research lies at the intersection of approximation theory and machine learning, focusing on kernel methods and polynomial and RBF interpolation, with applications to medical imaging and space weather forecasting, within national and international research projects.

Emma Perracchione is Associate Professor at Politecnico di Torino. Her research focuses on approximation theory and its applications to solar physics, such as astronomical imaging. She is currently Principal Investigator of the GOSSIP project (Greedy Optimal Sampling for Solar Inverse Problems), funded by the Italian Ministry of Universities and Research.

Dettagli dell'edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2026
• Lingua: Inglese
• ISBN 10: 100976912X
• ISBN 13: 9781009769129
• Rilegatura: Copertina rigida
• Numero di pagine: 242
• Contatto del produttore: Cambridge University Press; https://www.cambridge.org/; ; Via Honduras,15; Pomezia; Italia; 71; Italia