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» On the convergence of Hill's method
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136
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JAIR
2002
163views more  JAIR 2002»
15 years 12 days ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
86
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MOC
2000
70views more  MOC 2000»
15 years 16 days ago
Extrapolation methods and derivatives of limits of sequences
Let {Sm} be an infinite sequence whose limit or antilimit S can be approximated very efficiently by applying a suitable extrapolation method E0 to {Sm}. Assume that the Sm and henc...
Avram Sidi
SIAMREV
2010
132views more  SIAMREV 2010»
14 years 7 months ago
A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data
In this paper we propose and analyze a Stochastic-Collocation method to solve elliptic Partial Differential Equations with random coefficients and forcing terms (input data of the...
Ivo Babuska, Fabio Nobile, Raúl Tempone
SIAMJO
2002
92views more  SIAMJO 2002»
15 years 12 days ago
Generalized Bundle Methods
We study a class of generalized bundle methods for which the stabilizing term can be any closed convex function satisfying certain properties. This setting covers several algorithm...
Antonio Frangioni
MA
2010
Springer
172views Communications» more  MA 2010»
14 years 11 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert