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- posterJuly 2022
Analyzing optimized constants in genetic programming on a real-world regression problem
GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference CompanionPages 606–607https://doi.org/10.1145/3520304.3528896Ephemeral random constants are commonly used for symbolic regression with genetic programming. However, due to their random nature, it is difficult for genetic programming to find proper constants. This often leads to large and complex non-interpretable ...
- ArticleJuly 1991
Geometrically deformed models: a method for extracting closed geometric models form volume data
SIGGRAPH '91: Proceedings of the 18th annual conference on Computer graphics and interactive techniquesPages 217–226https://doi.org/10.1145/122718.122742We propose a new approach to the problem of generating a simple topologically-closed geometric model from a point-sampled volume data set. We call such a model a Geometrically Deformed Model or GDM. A GDM is created by placing a 'seed' model in the ...
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ACM SIGGRAPH Computer Graphics: Volume 25 Issue 4