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» Methods for Evolving Robust Programs
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CEC
2009
IEEE
15 years 10 months ago
Using genetic programming to obtain implicit diversity
—When performing predictive data mining, the use of ensembles is known to increase prediction accuracy, compared to single models. To obtain this higher accuracy, ensembles shoul...
Ulf Johansson, Cecilia Sönströd, Tuve L&...
BMCBI
2007
108views more  BMCBI 2007»
15 years 7 months ago
Design and implementation of a generalized laboratory data model
Background: Investigators in the biological sciences continue to exploit laboratory automation methods and have dramatically increased the rates at which they can generate data. I...
Michael C. Wendl, Scott Smith, Craig S. Pohl, Davi...
192
Voted
GECCO
2003
Springer
16 years 4 days ago
On Role of Implicit Interaction and Explicit Communications in Emergence of Social Behavior in Continuous Predators-Prey Pursuit
We present the result of our work on use of genetic programming for evolving social behavior of agents situated in inherently cooperative environment. We use predators-prey pursuit...
Ivan Tanev, Katsunori Shimohara
197
Voted
CRV
2005
IEEE
104views Robotics» more  CRV 2005»
16 years 17 days ago
A Hierarchical Non-Parametric Method for Capturing Non-Rigid Deformations
We present a novel approach for measuring image similarity based on the composition of parts. The measure identifies common subregions between the images at multiple sizes, and e...
Ady Ecker, Shimon Ullman
213
Voted
GECCO
2006
Springer
213views Optimization» more  GECCO 2006»
15 years 10 months ago
Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...
Stefan Wappler, Joachim Wegener