Now showing items 11-15 of 15
Stacking Ensemble for auto_ml
(Virginia Tech, 2018-06-13)
Machine learning has been a subject undergoing intense study across many different industries and academic research areas. Companies and researchers have taken full advantages of various machine learning approaches to solve ...
The Art of Deep Connection - Towards Natural and Pragmatic Conversational Agent Interactions
(Virginia Tech, 2017-07-12)
As research in Artificial Intelligence (AI) advances, it is crucial to focus on having seamless communication between humans and machines in order to effectively accomplish tasks. Smooth human-machine communication requires ...
Classification of Faults in Railway Ties Using Computer Vision and Machine Learning
(Virginia Tech, 2017-06-30)
This work focuses on automated classification of railway ties based on their condition using aerial imagery. Four approaches are explored and compared to achieve this goal - handcrafted features, HOG features, transfer ...
Sensitivity of Feedforward Neural Networks to Harsh Computing Environments
(Virginia Tech, 2018-08-08)
Neural Networks have proven themselves very adept at solving a wide variety of problems, in particular they accel at image processing. However, it remains unknown how well they perform under memory errors. This thesis ...
Power Analysis and Prediction for Heterogeneous Computation
(Virginia Tech, 2018-02-12)
Power, performance, and cost dictate the procurement and operation of high-performance computing (HPC) systems. These systems use graphics processing units (GPUs) for performance boost. In order to identify inexpensive-to-acquire ...