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Emergent behavior in neuroevolved agents
(University of Wisconsin--Whitewater, 2018-11)
Neural networks have been widely used for their ability to create generalized rulesets for a given set of training data. In applications where no such training data exists such as new video games, they are often overlooked ...
Superresolution recurrent convolutional neural networks for learning with multi-resolution whole slide images
(University of Wisconsin--Whitewater, 2018-11)
A recurrent convolutional neural network is supervised machine learning way to process images that has both properties of convolutional and recurrent networks. We propose Convolutional Neural Network (CNN) based approach ...