Many computer vision algorithms include a robust estimation step where model parameters are computed from a data set containing a significant proportion of outliers. The RANSAC al...
Deterministic dependency parsing has often been regarded as an efficient parsing algorithm while its parsing accuracy is a little lower than the best results reported by more comp...
Collective classification can significantly improve accuracy by exploiting relationships among instances. Although several collective inference procedures have been reported, they...
Motivated by emerging cooperative P2P applications we study new uplink allocation algorithms for substituting the ratebased choke/unchoke algorithm of BitTorrent which was develop...
Nikolaos Laoutaris, Damiano Carra, Pietro Michiard...
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...