We apply robust Bayesian decision theory to improve both generative and discriminative learners under bias in class proportions in labeled training data, when the true class propo...
In this paper we examine the diffusion of competing rumors in social networks. Two players select a disjoint subset of nodes as initiators of the rumor propagation, seeking to maxi...
Studieson the adoptionof business-to-consumere-commerce have not simultaneouslyconsideredtrust and risk as important determinants of adoption behavior. Further, trust in informati...
It is widely recognized that there is a body of mathematics which is crucial to the underpinning of computer science, software engineering, and information and communications tech...
This paper presents an implemented, psychologicallyplausible parsing model for Government Binding theory grammars. I make use of two main ideas: (1) a generalization of the licens...