نتایج جستجو برای: global updating
تعداد نتایج: 467007 فیلتر نتایج به سال:
Finite element model updating of a structure made linear elastic materials is based on the solution minimization problem. The goal to find some unknown parameters finite (elastic moduli, mass densities, constraints and boundary conditions) that minimize an objective function which evaluates discrepancy between experimental numerical dynamic properties. depends nonlinearly may have multiple loca...
UNLABELLED Belief polarization is said to occur when two people respond to the same evidence by updating their beliefs in opposite directions. This response is considered to be "irrational" because it involves contrary updating, a form of belief updating that appears to violate normatively optimal responding, as for example dictated by Bayes' theorem. In light of much evidence that people are c...
From family of corrective boosting algorithms (i.e. AdaBoost, LogitBoost) to total corrective algorithms (i.e. LPBoost, TotalBoost, SoftBoost, ERLPBoost), we analysis these methods of sample weight updating. Corrective boosting algorithms update the sample weight according to the last hypothesis; comparatively, total corrective algorithms update the weight with the best one of all weak classifi...
Diagonal updating scheme is among the cheapest Newton-like methods for solving system of nonlinear equations. Nevertheless, the method has some shortcomings. In this paper, we proposed an improved matrix-free secant updating scheme via line search strategies, by using the steps of backtracking in the Armijo-type line search as a step length predictor and Wolfe-Like condition as corrector. Our a...
In this paper, we suggest a prototype of an on-demand thrifty global propagation scheme especially designed for belief updating in large and complex Bayesian net-
Constrained global optimization problems can be tackled by using exact penalty approaches. In a preceding paper, we proposed an exact penalty algorithm for constrained problems which combines an unconstrained global minimization technique for minimizing a non-differentiable exact penalty function for given values of the penalty parameter, and an automatic updating of the penalty parameter that ...
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