GP-GOMEA
PulseAugur coverage of GP-GOMEA — every cluster mentioning GP-GOMEA across labs, papers, and developer communities, ranked by signal.
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New GP-GOMEA method optimizes expression structure and constants
Researchers have developed a new approach to symbolic regression using genetic programming, a method for constructing symbolic expressions that fit data. Their novel technique simultaneously optimizes both the structure…
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GPU acceleration speeds up GP-GOMEA symbolic regression
Researchers have developed a GPU-accelerated version of GP-GOMEA, an evolutionary algorithm for symbolic regression. This new approach significantly increases the speed of fitness evaluations, allowing for more complex …
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New methods advance symbolic regression for data analysis
Researchers have developed two new approaches to symbolic regression, a technique for finding mathematical expressions that fit data. One method, Latent Equation Embedding (LEE), uses iterative refinement in a latent sp…