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» Comparing Computer Models Solving Number Series Problems
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CVPR
1999
IEEE
15 years 11 months ago
A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data
We o er a simple paradigm for tting models, parametric and non-parametric, to noisy data, which resolves some of the problems associated with classic MSE algorithms. This is done ...
Michael Werman, Daniel Keren
COMPLIFE
2006
Springer
15 years 1 months ago
Adaptive Approach for Modelling Variability in Pharmacokinetics
Abstract. We present an improved adaptive approach for studying systems of ODEs affected by parameter variability and state space uncertainty. Our approach is based on a reformulat...
Andrea Y. Weiße, Illia Horenko, Wilhelm Huis...
GECCO
2011
Springer
261views Optimization» more  GECCO 2011»
14 years 1 months ago
Spacing memetic algorithms
We introduce the Spacing Memetic Algorithm (SMA), a formal evolutionary model devoted to a systematic control of spacing (distances) among individuals. SMA uses search space dista...
Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz
3DIM
2001
IEEE
15 years 1 months ago
Range Image Registration: A Software Platform and Empirical Evaluation
Building 3D models of real-world objects by assembling views taken by a range sensor promises to be a more efficient method than manually producing CAD drawings. In this technique...
Gerald Dalley, Patrick J. Flynn
ICCVW
1999
Springer
15 years 1 months ago
A General Method for Feature Matching and Model Extraction
Abstract. Popular algorithms for feature matching and model extraction fall into two broad categories, generate-and-test and Hough transform variations. However, both methods su er...
Clark F. Olson