The process of rank aggregation is intimately intertwined with the structure of skew-symmetric matrices. We apply recent advances in the theory and algorithms of matrix completion...
With the explosive growth of digital cameras and online media, it has become crucial to design efficient methods that help users browse and search large image collections. The rec...
Liangliang Cao, Andrey Del Pozo, Xin Jin, Jiebo Lu...
The area of integrating simulation and optimization has recently undergone remarkable changes. New advances are making available applications of simulation that previously had bee...
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
Raj D. Iyer, David D. Lewis, Robert E. Schapire, Y...
Semantic Web languages like OWL and RDFS promise to be viable means for representing metadata describing users and resources available over the Internet. Recently, interest has be...
Paolo Ceravolo, Ernesto Damiani, Sabrina De Capita...