Abstract. We study the fundamental problem of computing an arbitrary Nash equilibrium in bimatrix games. We start by proposing a novel characterization of the set of Nash equilibri...
1 In this document, we describe our work applying natural language (NL) technologies to improve non-player character (NPC) dialog interactions in games, specifically role-playing g...
Abstract. Reviews and review based rankings are widely used in recommendation systems to provide potential customers quality information about selected products. During the last ye...
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
Abstract. Traditional retrieval models assume that query terms are independent and rank documents primarily based on various term weighting strategies including TF-IDF and document...