—There have been several attempts to develop a comprehensive account of the requirements for voting systems, particularly for public elections. Typically, these approaches identi...
Abstract: Voter privacy and verifiability are fundamental security concepts for electronic voting. Existing literature on electronic voting provides many definitions and interpreta...
Lucie Langer, Axel Schmidt, Melanie Volkamer, Joha...
Credit assignment is a fundamental issue for the Learning Classifier Systems literature. We engage in a detailed investigation of credit assignment in one recent system called UC...
It is generally considered that a key component of electronic government in the future will be electronic voting, as a means of facilitating the participation of citizens in electi...
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...