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Low back pain (LBP) is known to be a prevalent, debilitating and costly condition, not to mention the difficulty clinicians have treating it. But progress has been made, as it has recently been shown that instrumented L3 indentation generates force-displacement (F-D) data that is associated with...
While the common method for diagnosing and monitoring adolescents with idiopathic scoliosis (AIS) is X-ray radiographs from which a Cobb angle is measured, studies have shown that high radiation exposure is linked to high risk of cancer, particularly, for children and women. This thesis describes...
The purpose of this project was to examine the classification experiences of paraswimmers. Understanding paraswimmers’ classification experiences added to the literature, exploring issues related to the functional classification system with a goal to influence classifier training. This research...
Presentation given at the Making Meaning Symposium, Edmonton, Alberta, February 2018.
Toward Practical Reinforcement Learning Algorithms: Classification Based Policy Iteration and Model-Based LearningDownload
In this dissertation, we advance the theoretical understanding of two families of Reinforcement Learning (RL) methods: Classification-based policy iteration (CBPI) and model-based reinforcement learning (MBRL) with factored semi-linear models. In contrast to generalized policy iteration, CBPI...
Synchronisation and Wavelet Compression for Background Interference Classification in Wireless EnvironmentsDownload
Dense wireless deployment environments are increasingly facing Radio Frequency (RF) spectrum congestion and increased levels of interference. Addressing the interference will require a distributed decision-making application on wireless nodes, that characterize the state of the channel with...
Advancements in data acquisition technologies and the desire for rich data has led to an increase in the size of data collected from modern analytical instruments. With the aid of chemometric techniques, researchers are still able to glean more useful information from these kinds of data than...
Classifying Crystal Structures of Binary Compounds AB through Cluster Resolution Feature Selection and Support Vector Machine AnalysisDownload
Partial least-squares discriminant analysis (PLS-DA) and support vector machine (SVM) techniques were applied to develop a crystal structure predictor for binary AB compounds. Models were trained and validated on the basis of the classification of 706 AB compounds adopting the seven most common...
Background. Social participation is considered the ultimate aim of rehabilitation, particularly for preschool children with Autism Spectrum Disorder (ASD). Given the inherent social difficulties of preschool children with ASD, social participation is a relevant and meaningful construct to explore...
Any classification system should be evaluated with respect to a variety of philosophical and practical concerns. This paper explores several distinct issues: the nature of a work, the value of a statement, the contribution of information science to philosophy, the nature of hierarchy, ethical...