2 papers
cs.NE2021
Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse Offspring
Adam Katona, Daniel W. Franks, James Alfred Walker
One of the most important lessons from the success of deep learning is that learned representations tend to perform much better at any task compared to representations we design by…
cs.SI2017
The perceived assortativity of social networks: Methodological problems and solutions
David N Fisher, Matthew J Silk, Daniel W Franks
Networks describe a range of social, biological and technical phenomena. An important property of a network is its degree correlation or assortativity, describing how nodes in the…