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» Approximability of Probability Distributions
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APN
2006
Springer
15 years 8 months ago
A New Approach to the Evaluation of Non Markovian Stochastic Petri Nets
Abstract. In this work, we address the problem of transient and steadystate analysis of a stochastic Petri net which includes non Markovian distributions with a finite support but ...
Serge Haddad, Lynda Mokdad, Patrice Moreaux
ICCV
2009
IEEE
15 years 2 months ago
Bayesian Poisson regression for crowd counting
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
Antoni B. Chan, Nuno Vasconcelos
STOC
2001
ACM
134views Algorithms» more  STOC 2001»
16 years 5 months ago
Data-streams and histograms
Histograms are typically used to approximate data distributions. Histograms and related synopsis structures have been successful in a wide variety of popular database applications...
Sudipto Guha, Nick Koudas, Kyuseok Shim
152
Voted
COMPUTING
2006
112views more  COMPUTING 2006»
15 years 4 months ago
Fast Summation of Radial Functions on the Sphere
Radial functions are a powerful tool in many areas of multidimensional approximation, especially when dealing with scattered data. We present a fast approximate algorithm for the ...
Jens Keiner, Stefan Kunis, Daniel Potts
WSC
2001
15 years 6 months ago
Accounting for input model and parameter uncertainty in simulation
Taking into account input-model, input-parameter, and stochastic uncertainties inherent in many simulations, our Bayesian approach to input modeling yields valid point and confide...
Faker Zouaoui, James R. Wilson