Now showing items 1-3 of 3
Scalability Analysis of Synchronous Data-Parallel Artificial Neural Network (ANN) Learners
(Virginia Tech, 2018-09-14)
Artificial Neural Networks (ANNs) have been established as one of the most important algorithmic tools in the Machine Learning (ML) toolbox over the past few decades. ANNs' recent rise to widespread acceptance can be ...
A Study of Machine Learning Approaches for Integrated Biomedical Data Analysis
(Virginia Tech, 2018-06-29)
This thesis consists of two projects in which various machine learning approaches and statistical analysis for the integration of biomedical data analysis were explored, developed and tested. Integration of different ...
Enhanced Neural Network Training Using Selective Backpropagation and Forward Propagation
(Virginia Tech, 2018-06-22)
Neural networks are making headlines every day as the tool of the future, powering artificial intelligence programs and supporting technologies never seen before. However, the training of neural networks can take days or ...