In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit ...
In this paper, we focus on methodology of finding a classifier with a minimal cost in presence of additional performance constraints. ROCCH analysis, where accuracy and cost are i...
Given a primal-dual pair of linear programs, it is well known that if their optimal values are viewed as lying on the extended real line, then the duality gap is zero, unless both...
Abstract. This paper describes how high level implementations of (needed) narrowing into Prolog can be improved by analysing definitional trees. First, we introduce a refined repre...
Interactive configuration guides a user searching through a large combinatorial space of solutions to a system of constraints. We investigate a class of very expressive underlying...
Erik Roland van der Meer, Andrzej Wasowski, Henrik...