Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetti...
A voting rule is an algorithm for determining the winner in an election, and there are several approaches that have been used to justify the proposed rules. One justification is t...
Edith Elkind, Piotr Faliszewski, Arkadii M. Slinko
In online content voting networks, aggregate user activities (e.g., submitting and rating content) make high-quality content thrive through the unprecedented scale, high dynamics ...
We study the complexity of manipulation for a family of election systems derived from Copeland voting via introducing a parameter that describes how ties in head-to-head contests...
Piotr Faliszewski, Edith Hemaspaandra, Henning Sch...
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...