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JMLR
2006
143views more  JMLR 2006»
13 years 8 months ago
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
Rémi Munos
SEKE
2007
Springer
14 years 2 months ago
Incremental Effort Prediction Models in Agile Development using Radial Basis Functions
One of the impediments to the wide dissemination of software estimation and measurement practices is the significant overhead imposed by these practices on the project and develop...
Raimund Moser, Witold Pedrycz, Giancarlo Succi
CSDA
2008
89views more  CSDA 2008»
13 years 8 months ago
Projection density estimation under a m-sample semiparametric model
An m-sample semiparametric model in which the ratio of m - 1 probability density functions with respect to the mth is of a known parametric form without reference to any parametri...
Jean-Baptiste Aubin, Samuela Leoni-Aubin
TIT
2002
107views more  TIT 2002»
13 years 8 months ago
Wavelet deconvolution
Abstract--This paper studies the issue of optimal deconvolution density estimation using wavelets. The approach taken here can be considered as orthogonal series estimation in the ...
Jianqing Fan, Ja-Yong Koo
AUTOMATICA
2010
167views more  AUTOMATICA 2010»
13 years 9 months ago
A new kernel-based approach for linear system identification
This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...
Gianluigi Pillonetto, Giuseppe De Nicolao