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
- 2Abdi Oskouie, Mina
- 2Birkbeck, Neil Aylon Charles
- 2Cai, Zhipeng
- 2Chen, Jiyang
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 74Machine Learning
- 70Reinforcement Learning
- 41Artificial Intelligence
- 36Machine learning
- 22Natural Language Processing
- 22Reinforcement learning
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Fall 2012
This thesis describes a practice-based methodology in which an interdisciplinary team of computer scientists and musicians create, enact, and iteratively refine a series of technologically mediated participatory performances structured to investigate HCI research questions surrounding participant...
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Fall 2012
In this project we study the problem of wireless sensor network (WSN) node placement in a modelled environment. Although various optimal and sub-optimal techniques with different objectives and constraints such as maximizing coverage, network lifetime and reliable data transfer have previously...
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Detecting and correcting typing errors in open-domain knowledge graphs using semantic representation of entities
DownloadFall 2019
Large and accurate Knowledge Graphs (KGs) are often used as a source of structured knowledge in many natural language processing (NLP) tasks, including question-answering systems, conversational agents, information integration, named entity recognition, document ranking, among others. Various...
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Detecting And Diagnosing Web Application Performance Degradation In Real-Time At The Method Call Level
DownloadSpring 2012
As e-commerce becomes more popular, the performance of enterprise web applications becomes an important and challenging issue. Unlike failures, performance degradation is more difficult for the administrator to observe. It also takes much time to locate the root cause because there are many...
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Spring 2020
Several Artificial Intelligence (AI) techniques such as machine learning, evolutionary computing, and Artificial Life (A-life) have been increasingly used to generate emergence of novel behaviours in multi-agent simulations (e.g., commercial games). However, automatically detecting emergent...
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Spring 2019
When a machine or a component of a machine fails, corrective maintenance is performed to identify the cause of failure and decide on a repair mechanism to restore the machine to its normal working condition. However, because the machine has failed without any prior warning, a considerable amount...
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Fall 2023
There is essential information in the underlying structure of sentences and the relationships between words and phrases in natural language questions, and the use of this information has been extensively studied. This thesis studies the problem of word transfer from questions to answer passages...
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Detecting, correcting, and preventing the batch effects in multi-site data, with a focus on gene expression Microarrays
DownloadSpring 2014
Gene expression microarrays are widely used to better understand the complex biological mechanisms inside cells. One of the main obstacles of applying statistical learning algorithms to microarray data is the large gap between the number of features (p) and the number of available instances (n),...