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» Sensitivity of trust-region algorithms to their parameters
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AAAI
2006
13 years 9 months ago
Quantifying the Impact of Learning Algorithm Parameter Tuning
The impact of learning algorithm optimization by means of parameter tuning is studied. To do this, two quality attributes, sensitivity and classification performance, are investig...
Niklas Lavesson, Paul Davidsson
SIAMNUM
2010
96views more  SIAMNUM 2010»
13 years 2 months ago
A Stochastic Algorithm for Parametric Sensitivity in Smoluchowski's Coagulation Equation
Abstract. In this article a stochastic particle system approximation to the parametric sensitivity in the Smoluchowski coagulation equation is introduced. The parametric sensitivit...
Ismaël F. Bailleul, Peter L. W. Man, Markus K...
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
13 years 11 months ago
A method for parameter calibration and relevance estimation in evolutionary algorithms
We present and evaluate a method for estimating the relevance and calibrating the values of parameters of an evolutionary algorithm. The method provides an information theoretic m...
Volker Nannen, A. E. Eiben
DATE
2008
IEEE
137views Hardware» more  DATE 2008»
14 years 2 months ago
SPARE - a Scalable algorithm for passive, structure preserving, Parameter-Aware model order REduction
In this paper we describe a flexible and efficient new algorithm for model order reduction of parameterized systems. The method is based on the reformulation of the parametric s...
Jorge Fernandez Villena, Luis Miguel Silveira
JMLR
2011
117views more  JMLR 2011»
13 years 2 months ago
Parameter Screening and Optimisation for ILP using Designed Experiments
Reports of experiments conducted with an Inductive Logic Programming system rarely describe how specific values of parameters of the system are arrived at when constructing model...
Ashwin Srinivasan, Ganesh Ramakrishnan