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Theses and Dissertations
This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.
Items in this Collection
- 9Reinforcement Learning
- 7Machine Learning
- 2Classification
- 2Natural Language Processing
- 2Neural Networks
- 2Optimization
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Spring 2021
Cavalcante Araujo Neto, Antonio
HDBSCAN* is a hierarchical density-based clustering method that requires a single parameter mpts, a smoothing factor that implicitly influences which clusters are more detectable in the resulting clustering hierarchy. While a small change in mpts typically leads to a small change in the...
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A Study of Ensemble Machine Learning Model Architectures for Parkinson’s Disease Detection and Freezing of Gait Forecasting
DownloadFall 2021
Parkinson's Disease (PD) is a major progressive neurological disorder and is extremely difficult to diagnose PD~\cite{pmid23039866} since there are no defined medical tests for this task. The existing approach involves a combination physical examinations, neuroimaging and demographic analysis...
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Spring 2021
Active sensors, such as active cameras and ultrasound transducers, are becoming more popular. One particular type of active camera, the Pan-Tilt-Zoom (PTZ) camera, has become ubiquitous in surveillance platforms. Given their active nature, active cameras are omnipresent in robotic systems as...
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Spring 2021
Learning about many things can provide numerous benefits to a reinforcement learning system. For example, learning many auxiliary value functions, in addition to optimizing the environmental reward, appears to improve both exploration and representation learning. The question we tackle in this...
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Fall 2021
Reinforcement learning (RL) is a learning paradigm focusing on how agents interact with an environment to maximize cumulative reward signals emitted from the environment. Exploration versus exploitation challenge is critical in RL research: the agent ought to trade off between taking the known...
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Application of Natural Language Processing and Information Retrieval in Two Software Engineering Tools
DownloadFall 2021
Many software engineering problems have traditionally been approached by applying techniques based on static analysis and fixed sets of rules. I created two novel techniques to tackle three software engineering problems: typo location, fix suggestion, and crash report bucket creation. However,...
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Approximation Algorithms for Throughput Maximization, Resource Minimization for Fire Containment and Hierarchical Clustering
DownloadFall 2021
In this thesis, we present a variety of approximation algorithms for Resource Minimization for Fire Containment, Throughput Maximization, and Hierarchical Clustering.Resource Minimization Fire Containment (RMFC) is a natural model for optimal inhibition of harmful spreading phenomena on a graph....
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Approximation Schemes for Capacitated Vehicle Routing on Graphs of Bounded Treewidth, Bounded Doubling, or Highway Dimension
DownloadFall 2021
In this thesis, we present Approximation Schemes for Capacitated Vehicle Routing Problem (CVRP) on several classes of graphs. In CVRP, introduced by Dantzig and Ramser in 1959, we are given a graph G = (V,E) with metric edges costs, a depot r in V , and a vehicle of bounded capacity Q. The goal...
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Fall 2021
The problem of aspect-based recommendation---recommending an "item" to a "recommendation recipient" based on "aspects", i.e., information about the characteristic features of the item that may be of interest to the recommendation recipient or what makes an item a good match for a recommendation...
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Fall 2021
An oft-ignored challenge of real-world reinforcement learning is that, unlike standard simulated environments, the real world does not pause when agents make learning updates. As standard simulated environments do not address this real-time aspect of learning, most available implementations of...