Automated Feature Engineering for Deep Neural Networks with Genetic Programming

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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Bibliographic Details
Main Author:	Heaton, Jeff T.
Format:	Others
Published:	NSUWorks 2017
Subjects:	deep neural network feature engineering genetic programming Computer Sciences
Online Access:	http://nsuworks.nova.edu/gscis_etd/994 http://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1995&context=gscis_etd

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