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ICIP
2006
IEEE
14 years 10 months ago
Laplace Random Vectors, Gaussian Noise, and the Generalized Incomplete Gamma Function
Wavelet domain statistical modeling of images has focused on modeling the peaked heavy-tailed behavior of the marginal distribution and on modeling the dependencies between coeffi...
Ivan W. Selesnick
NIPS
2003
13 years 9 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss
ALGORITHMICA
2008
43views more  ALGORITHMICA 2008»
13 years 8 months ago
Gaussian Laws for the Main Parameters of the Euclid Algorithms
We provide sharp estimates for the probabilistic behaviour of the main parameters of the Euclid Algorithms, both on polynomials and on integer numbers. We study in particular the d...
Loïck Lhote, Brigitte Vallée
CORR
2004
Springer
102views Education» more  CORR 2004»
13 years 8 months ago
Mutual Information and Minimum Mean-square Error in Gaussian Channels
Abstract--This paper deals with arbitrarily distributed finitepower input signals observed through an additive Gaussian noise channel. It shows a new formula that connects the inpu...
Dongning Guo, Shlomo Shamai, Sergio Verdú
GECCO
2009
Springer
117views Optimization» more  GECCO 2009»
14 years 1 months ago
BBOB-benchmarking a simple estimation of distribution algorithm with cauchy distribution
The restarted estimation of distribution algorithm (EDA) with Cauchy distribution as the probabilistic model is tested on the BBOB 2009 testbed. These tests prove that when using ...
Petr Posik