This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
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Skip to Search Results- 8deep learning
- 3machine learning
- 2artificial intelligence
- 2reinforcement learning
- 1Convex multi-layer modeling
- 1Convex optimization
- 1Aslan,Ozlem
- 1Ata-E-Rabbi, H M
- 1Davis, Sarah (Sacha) Maren
- 1Ghosh, Shrimanti
- 1Tan, Zijie
- 1Tapkan, Mustafa B
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Spring 2017
Most machine learning problems can be posed as solving a mathematical program that describes the structure of the prediction problem, usually expressed in terms of carefully chosen losses and regularizers. However, many machine learning problems yield mathematical programs that are not convex in...
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Fall 2022
Imperfect information games model many large-scale real-world problems. Hex is the classic two-player zero-sum no-draw connection game where each player wants to join their two sides. Dark Hex is an imperfect information version of Hex in which each player sees only their own moves. Finding Nash...
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Fall 2023
In this thesis, we investigate applying deep learning techniques to learn the win-loss-draw results contained in the databases of the checkers-playing program CHINOOK. Our initial objectives were to (1) compare a deep-learning-based compression scheme versus the custom algorithm used in CHINOOK,...
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Fall 2021
The appearance of an image projected by a projector onto an arbitrary surface has the potential to appear differently depending on several factors, e.g., the properties of the surface being projected on, the colors of the light projected by the projector and the colors and the optical properties...
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Learning Individual Readmission-Free Survival Distributions using Longitudinal Medical Events
DownloadFall 2023
The rate of 30-day hospital readmission is a common measurement of hospital quality, which can affect the funding a hospital receives. Over a quarter of readmissions are estimated to be preventable with adequate interventions, but these interventions are themselves costly. For this reason, many...
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Spring 2023
The intent of this thesis is to develop a high-performance open-source system that plans with a learned model and to understand the algorithm through extensive analysis. We formulate the problem of maximizing accumulated rewards in Markov Decision Processes, and we frame playing games as such...
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Predicting Uterine Deformation Due to Applicator Insertion in Pre-Brachytherapy MRI Using Deep Learning
DownloadSpring 2023
In locally advanced cervical cancer (LACC), brachytherapy (BT) remains the gold standard for boosting to curative doses in radiotherapy. Progress towards balancing target and routine tissue dosimetry for better clinical outcomes has been made possible by magnetic resonance imaging (MRI)-guided...
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Fall 2024
Distribution learning has long been a key area of research in computer vision. However, the potential of combining distribution learning with deep learning remains underexplored. To bridge this gap, this thesis discusses two proposed methods. The first, Differentiable Arithmetic Distribution...