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» Computation with imprecise probabilities
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144
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CORR
2010
Springer
109views Education» more  CORR 2010»
15 years 4 months ago
Polynomial Learning of Distribution Families
Abstract--The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoreti...
Mikhail Belkin, Kaushik Sinha
CORR
2008
Springer
118views Education» more  CORR 2008»
15 years 4 months ago
Distributed Constrained Optimization with Semicoordinate Transformations
Recent work has shown how information theory extends conventional full-rationality game theory to allow bounded rational agents. The associated mathematical framework can be used ...
William G. Macready, David Wolpert
ENTCS
2008
146views more  ENTCS 2008»
15 years 4 months ago
Probabilistic Abstract Interpretation of Imperative Programs using Truncated Normal Distributions
istic Abstract Interpretation of Imperative Programs using Truncated Normal Distributions Michael J. A. Smith1 ,2 Laboratory for Foundations of Computer Science University of Edinb...
Michael J. A. Smith
CSDA
2006
72views more  CSDA 2006»
15 years 4 months ago
Generalized theory of uncertainty (GTU) - principal concepts and ideas
Uncertainty is an attribute of information. The path-breaking work of Shannon has led to a universal acceptance of the thesis that information is statistical in nature. Concomitan...
Lotfi A. Zadeh
136
Voted
JCC
2008
131views more  JCC 2008»
15 years 4 months ago
An optimized initialization algorithm to ensure accuracy in quantum Monte Carlo calculations
: Quantum Monte Carlo (QMC) calculations require the generation of random electronic configurations with respect to a desired probability density, usually the square of the magnitu...
Daniel R. Fisher, David R. Kent IV, Michael T. Fel...