Of Genes and Machines: Application of a Combination of Machine Learning Tools to Astronomy Data Sets
(2016)
Journal Article
Heinis, S., Kumar, S., Gezari, S., Burgett, W., Chambers, K., Draper, P., …Waters, C. (2016). Of Genes and Machines: Application of a Combination of Machine Learning Tools to Astronomy Data Sets. Astrophysical Journal, 821(2), Article 86. https://doi.org/10.3847/0004-637x/821/2/86
We apply a combination of genetic algorithm (GA) and support vector machine (SVM) machine learning algorithms to solve two important problems faced by the astronomical community: star–galaxy separation and photometric redshift estimation of galaxies... Read More about Of Genes and Machines: Application of a Combination of Machine Learning Tools to Astronomy Data Sets.