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UAI
2000
13 years 8 months ago
Utilities as Random Variables: Density Estimation and Structure Discovery
Decision theory does not traditionally include uncertainty over utility functions. We argue that the a person's utility value for a given outcome can be treated as we treat o...
Urszula Chajewska, Daphne Koller
ISIPTA
2005
IEEE
146views Mathematics» more  ISIPTA 2005»
14 years 16 days ago
Arithmetic on Random Variables: Squeezing the Envelopes with New Joint Distribution Constraints
Uncertainty is a key issue in decision analysis and other kinds of applications. Researchers have developed a number of approaches to address computations on uncertain quantities....
Jianzhong Zhang 0004, Daniel Berleant
TCOM
2010
133views more  TCOM 2010»
13 years 5 months ago
An Exact Performance Analysis of MRC / OSTBC over Generalized Fading Channels
—A unified analytical framework for evaluating the performance of maximal ratio combining (MRC) and orthogonal space-time block coding (OSTBC) over generalized fading channels i...
George A. Ropokis, Athanasios A. Rontogiannis, P. ...
CORR
2008
Springer
139views Education» more  CORR 2008»
13 years 7 months ago
Distance Distributions in Finite Uniformly Random Networks: Theory and Applications
In wireless networks, the knowledge of nodal distances is essential for performance analysis and protocol design. When determining distance distributions in random networks, the u...
Sunil Srinivasa, Martin Haenggi
FSS
2008
87views more  FSS 2008»
13 years 7 months ago
Representing parametric probabilistic models tainted with imprecision
Numerical possibility theory, belief function have been suggested as useful tools to represent imprecise, vague or incomplete information. They are particularly appropriate in unc...
Cédric Baudrit, Didier Dubois, Nathalie Per...