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EUROGP
2000
Springer
107views Optimization» more  EUROGP 2000»
15 years 1 months ago
Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters
Abstract. Statistical techniques for designing and analysing experiments are used to evaluate the individual and combined effects of genetic programming parameters. Three binary cl...
Robert Feldt, Peter Nordin
CVPR
2005
IEEE
15 years 11 months ago
Analytically Solving Radial Distortion Parameters
Most camera calibration algorithms consider parameters that define the lens distortion mapping. The usual way to determine these parameters is to minimize a nonlinear optimization...
Simone Graf, Tobias Hanning
ICCAD
2003
IEEE
98views Hardware» more  ICCAD 2003»
15 years 6 months ago
Achieving Design Closure Through Delay Relaxation Parameter
Current design automation methodologies are becoming incapable of achieving design closure especially in the presence of deep submicron effects. This paper addresses the issue of ...
Ankur Srivastava, Seda Ogrenci Memik, Bo-Kyung Cho...
ICPR
2008
IEEE
15 years 4 months ago
Improving Bayesian Network parameter learning using constraints
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
Cassio Polpo de Campos, Qiang Ji
COR
2008
164views more  COR 2008»
14 years 10 months ago
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatica...
Enrique Alba, J. Francisco Chicano