The goal of an Evolutionary Algorithm(EA) is to find the optimal solution to a given problem by evolving a set of initial potential solutions. When the problem is multi-modal, an ...
Konstantinos Bousmalis, Gillian M. Hayes, Jeffrey ...
Distributional analysis is widely used to study social choice in Euclidean models [35, 36, 1, 5, 11, 19, 8, 2, e.g]. This method assumes a continuum of voters distributed accordin...
The yolk, defined by McKelvey as the smallest ball intersecting all median hyperplanes, is a key concept in the Euclidean spatial model of voting. Koehler conjectured that the yo...
We consider designing near video on demand (VoD) systems that minimize start-up latency while maintaining high image quality. Recently several research teams have developed period...
Despina Saparilla, Keith W. Ross, Martin Reisslein
We prove new lower bounds for learning intersections of halfspaces, one of the most important concept classes in computational learning theory. Our main result is that any statist...