Now showing items 1-2 of 2
AMD, analysis of mood dysregulation : a machine learning approach
(University of Missouri--Columbia, 2016)
the morning and night categories. We then analyze the relationship between time, physiological measurements, and mood dysregulation to develop a model that can predict mood dysregulation episodes with 93.31% accuracy. Moreover, to train and test the model...
Applications of deep neural networks to protein structure prediction
(University of Missouri--Columbia, 2018)
. In extensive experiments on multiple datasets, the proposed deep neural architectures outperformed the best existing methods and other deep neural networks significantly: The proposed DeepNRN achieved highest Q8 75.33, 72.9, 70.8 on CASP 10, 11, 12 higher than...