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NIPS
2001
13 years 10 months ago
Bayesian time series classification
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...
Peter Sykacek, Stephen J. Roberts
SODA
2001
ACM
79views Algorithms» more  SODA 2001»
13 years 10 months ago
Learning Markov networks: maximum bounded tree-width graphs
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 ...
David R. Karger, Nathan Srebro
SERP
2004
13 years 10 months ago
Virtual UNR Campus: The Specification Process
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...
WSC
2004
13 years 10 months ago
Simulation-Based Pricing of Mortgage-Backed Securities
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...
Jian Chen
ICIS
2000
13 years 10 months ago
A framework of knowledge management systems: issues and challenges for theory and practice
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...
Jungpil Hahn, Mani R. Subramani