Training Data Generation Framework For Machine-Learning Based Classifiers
In this thesis, we propose a new framework for the generation of training data for machine learning techniques used for classification in communications applications. Machine learning-based signal classifiers do not generalize well when training data does not describe the underlying probability dist...
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| Format: | Others |
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Digital WPI
2018
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| Online Access: | https://digitalcommons.wpi.edu/etd-theses/1276 https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=2269&context=etd-theses |