Automated Feature Engineering for Deep Neural Networks with Genetic Programming
Feature engineering is a process that augments the feature vector of a machine learning model with calculated values that are designed to enhance the accuracy of a model’s predictions. Research has shown that the accuracy of models such as deep neural networks, support vector machines, and tree/fore...
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| Format: | Others |
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NSUWorks
2017
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| Online Access: | http://nsuworks.nova.edu/gscis_etd/994 http://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1995&context=gscis_etd |