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EUROGP
2010
Springer

Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data

10 years 8 days ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based symbolic regression. Its evolved models for each panelist provide a second component with all plausible and uncorrelated explanations of how a panelist rates flavours. The second component bootstraps the data using an ensemble selected from the evolved models, forms a probability density function for each panelist and clusters the panelists into segments that are easy to please, neutral, and hard to please. Key words: symbolic regression, panel segmentation, survey data, ensemble modeling, hedonic, sensory evaluation
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma
Added 09 Jul 2010
Updated 09 Jul 2010
Type Conference
Year 2010
Where EUROGP
Authors Katya Vladislavleva, Kalyan Veeramachaneni, Una-May O'Reilly, Matt Burland, Jason Parcon
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