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ICANN
2009
Springer
13 years 11 months ago
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
Adrian G. Bors, Nikolaos Nasios
ESCIENCE
2006
IEEE
14 years 23 days ago
A Middleware Framework for Maximum Likelihood Evaluation over Dynamic Grids
We have designed a maximum likelihood fitter using the actor model to distribute the computation over a heterogeneous network. The prototype implementation uses the SALSA program...
Wei-Jen Wang, Kaoutar El Maghraoui, John Cummings,...
JAIR
2008
93views more  JAIR 2008»
13 years 6 months ago
A Rigorously Bayesian Beam Model and an Adaptive Full Scan Model for Range Finders in Dynamic Environments
This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are rigorously explained, and...
Tinne De Laet, Joris De Schutter, Herman Bruyninck...
AAAI
2006
13 years 8 months ago
Bayesian Calibration for Monte Carlo Localization
Localization is a fundamental challenge for autonomous robotics. Although accurate and efficient techniques now exist for solving this problem, they require explicit probabilistic...
Armita Kaboli, Michael H. Bowling, Petr Musí...
IOLTS
2005
IEEE
163views Hardware» more  IOLTS 2005»
14 years 9 days ago
Modeling Soft-Error Susceptibility for IP Blocks
As device geometries continue to shrink, single event upsets are becoming of concern to a wider spectrum of system designers. These “soft errors” can be a nuisance or catastro...
Robert C. Aitken, Betina Hold