A Learning Model on the Rooted Regular Tree by Moumanti Podder

Explore a comprehensive lecture on "A Learning Model on the Rooted Regular Tree" presented by Moumanti Podder at the International Centre for Theoretical Sciences. Delve into advanced concepts in network science, probability theory, and graph theory as part of the NETWORKS program, a 10-year initiative funded by the Dutch Ministry of Education, Culture and Science. Gain insights into structural properties of random graphs, dynamics on networks, interacting particle systems, and algorithmic aspects of networks. Discover applications in finance, large data set analysis, rare event modeling, and social networks. Engage with cutting-edge research presented by leading experts in random matrices, random graphs, processes on random graphs, algorithms, optimization, complex physical systems, and long-range dependent models.