Speaker
Dr
davide vadacchino
(INFN Sezione di Pisa)
Description
In the last few years, machine learning techniques have been applied to a large variety of classification problems. In this talk, we present a quantitative study of the critical behavior of an exactly solved model, the 2D Ising model, performed using a quadratic kernel Support Vector Machine. Under very mild assumptions, the critical exponents and the critical temperature are obtained with a precision comparable to that of reweighting methods.
Primary authors
Dr
Biagio Lucini
(Swansea University)
Dr
davide vadacchino
(INFN Sezione di Pisa)
