This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
The Virtual UNR Campus (VCam) presented in this paper is an interactive environment where users explore a 3D representation of the University of Nevada, Reno (UNR) campus. In esse...
Sergiu Dascalu, Frederick C. Harris Jr., Matthew K...
Mortgage-Backed-Securities (MBS), as the largest investment class of fixed income securities, have always been hard to price. Because of the following reasons, normal numerical me...
As the basis of value creation increasingly depends on the leverage of the intangible assets of firms, Knowledge Management Systems (KMS) are emerging as powerful sources of compe...