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- 41machine learning
- 6artificial intelligence
- 4reinforcement learning
- 1Abdolrazzaghi, Mohammad
- 1Badamdorj, Taivanbat
- 1Bennett, Brendan
- 1Benoit, James RA
- 1Boukrich, Ali
- 25Graduate Studies and Research, Faculty of
- 25Graduate Studies and Research, Faculty of/Theses and Dissertations
- 11Concordia University of Edmonton
- 6Concordia University of Edmonton/Master of Science in Information Technology Project Reports (Concordia University of Edmonton)
- 3Concordia University of Edmonton/Master of Information Systems Security Management (MISSM) and Master of Information Systems Assurance Management (MISAM) Project Reports (Concordia University of Edmonton)
- 2Electrical and Computer Engineering, Department of
- 5Department of Computing Science
- 3Department of Chemical and Materials Engineering
- 3Department of Electrical and Computer Engineering
- 2Department of Biological Sciences
- 2Department of Civil and Environmental Engineering
- 2Department of Mechanical Engineering
Every living species has cells and based on those cells scientists observe and make some predictions or observations. The identification and classification of cells is a highly crucial part of medical research and involves human efforts to a huge extent. Due to human involvement, the research may...
Computational psychiatry: machine learning for clinical decision support in the treatment of major depressionDownload
The goal of this thesis is to contribute to the fields of data-driven medicine and computational psychiatry by attempting to demonstrate the viability of machine learning for use in psychiatry, specifically in predicting treatment outcomes for major depression. This is attempted in four ways: ...
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...
Disentangling a freshwater amphipod–acanthocephalan system from ecological and molecular perspectivesDownload
One of the major goals in ecological research is to understand factors that influence distribution, diversity and prevalence of parasites and their hosts. How hosts are distributed geographically clearly restricts the spatial distribution of associated obligatory parasites. This restriction is...
Economics of wildfire suppression: Estimation of drivers of suppression expenditure and Risk preference experiments with wildfire managementDownload
Public wildfire management agencies are presented with a momentous responsibility: to protect life, property and infrastructure from the devastation of wildland fire, while operating at a level of expenditure justifiable to taxpayers. At a time when climate change drives more extreme fire...
In this work, a microwave planar sensor is used for liquid material characterization. Two identical complementary split-ring resonators operating at 3 GHz are coupled to create a highly sensitive capacitive region. The moderate quality factor of the sensor ~230 is significantly improved up to...
Conventional distribution systems need to undergo several updates to be able to meet modern energy requirements. While conventional grids have been able to satisfy the objectives they were designed for, lack of sensors and powerful communication systems, primitive control and management methods,...
Temporal difference (TD) methods provide a powerful means of learning to make predictions in an online, model-free, and highly scalable manner. In the reinforcement learning (RL) framework, we formalize these prediction targets in terms of a (possibly discounted) sum of rewards, called the...
Wireless channel utilization prediction is useful in a number of applications, such as the recently proposed modalities of LTE networks allowing them to use unlicensed bands (LTE-U), otherwise used by Wi-Fi devices. Wireless utilization, as we are also able to also confirm, exhibits...
Video is the dominant medium through which we consume information. Due to the sheer volume of video content, it is of great interest in the research community to develop automated ways to make this content manageable. In video highlight detection, our goal is to automatically find interesting...