Seminario - Learning Algebraic Varieties from Samples

Il giorno 31 agosto, alle ore 10, in aula da definirsi, il prof. B. Sturmfels (MPI Leipzig and UC Berkeley) terrà un seminario dal titolo "Learning Algebraic Varieties from Samples". 

This lecture addresses the role of algebraic geometry in data
science. We discuss work with Paul Breiding, Sara Kalisnik and Madeline
Weinstein, aimed at determining a real algebraic variety from a fixed
finite subset of points. Existing methods are studied and new methods
are developed. Our focus lies on topological and algebraic features,
such as dimension and defining polynomials. All algorithms are tested on
a range of datasets and made available in a software package in Julia.
 

https://www.mpg.de/12219609/looking-at-data-through-the-lens-of-algebraic-geometry