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ICANNGA
2009
Springer
212views Algorithms» more  ICANNGA 2009»
14 years 9 days ago
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric L...
ICIP
2003
IEEE
14 years 7 months ago
Incorporating constraints into the design of locally identifiable calibration patterns
Camera calibration requires the identification of points in an image that correspond to known locations in the scene. These are typically determined through the use of a calibrati...
Anton van den Hengel, Rhys Hill, Michael J. Brooks
TVLSI
2010
13 years 13 days ago
Area and Power Optimization of High-Order Gain Calibration in Digitally-Enhanced Pipelined ADCs
Digital calibration techniques are widely utilized to linearize pipelined analog-to-digital converters (ADCs). However, their power dissipation can be prohibitively high, particula...
Mohammad Taherzadeh-Sani, Anas A. Hamoui
EVOW
2010
Springer
14 years 17 days ago
Parameter Tuning of Evolutionary Algorithms: Generalist vs. Specialist
Abstract. Finding appropriate parameter values for Evolutionary Algorithms (EAs) is one of the persistent challenges of Evolutionary Computing. In recent publications we showed how...
Selmar K. Smit, A. E. Eiben
CEC
2007
IEEE
13 years 9 months ago
Efficient relevance estimation and value calibration of evolutionary algorithm parameters
Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...
Volker Nannen, A. E. Eiben