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» On the convergence of Hill's method
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PAMI
2006
147views more  PAMI 2006»
15 years 1 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani
95
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IJBC
2007
80views more  IJBC 2007»
15 years 1 months ago
Exact Approximations of omega Numbers
A Chaitin Omega number is the halting probability of a universal prefix-free Turing machine. Every Omega number is simultaneously computably enumerable (the limit of a computable...
Cristian S. Calude, Michael J. Dinneen
AEI
2005
99views more  AEI 2005»
15 years 1 months ago
Comparison among five evolutionary-based optimization algorithms
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
Emad Elbeltagi, Tarek Hegazy, Donald E. Grierson
111
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ANOR
2005
128views more  ANOR 2005»
15 years 1 months ago
Expectation-Stock Dynamics in Multi-Agent Fisheries
In this paper we consider a game-theoretic dynamic model describing the exploitation of a renewable resource. Our model is based on a Cournot oligopoly game where n profit-maximizi...
Gian Italo Bischi, Michael Kopel, Ferenc Szidarovs...
104
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AUTOMATICA
2005
112views more  AUTOMATICA 2005»
15 years 1 months ago
Robust maximum-likelihood estimation of multivariable dynamic systems
This paper examines the problem of estimating linear time-invariant state-space system models. In particular it addresses the parametrization and numerical robustness concerns tha...
Stuart Gibson, Brett Ninness