Browsing Theses by Supervisor "van Beek, Peter"
Now showing items 1-7 of 7
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Data Augmentation For Text Classification Tasks
(University of Waterloo, 2020-08-12)Thanks to increases in computing power and the growing availability of large datasets, neural networks have achieved state of the art results in many natural language process- ing (NLP) and computer vision (CV) tasks. ... -
Improved Bayesian Network Structure Learning in the Model Averaging Paradigm
(University of Waterloo, 2023-01-10)A Bayesian network (BN) is a probabilistic graphical model with applications in knowledge discovery and prediction. Its structure can be learned from data using the well-known score-and-search approach, where a scoring ... -
Improved Scalability and Accuracy of Bayesian Network Structure Learning in the Score-and-Search Paradigm
(University of Waterloo, 2023-05-16)A Bayesian network is a probabilistic graphical model that consists of a directed acyclic graph (DAG), where each node is a random variable and attached to each node is a conditional probability distribution (CPD). A ... -
Improving Artificial Neural Network Models for Predicting Hourly Water Consumption
(University of Waterloo, 2018-09-26)Smart water meter devices are now widely installed in single family residences, allowing water consumption data to be collected at a high resolution from both the temporal and spatial perspectives. Such data allows improved ... -
Modelling Chart Trajectories using Song Features
(University of Waterloo, 2019-08-23)Over the years, hit song science has been a controversial topic within music information retrieval. Researchers have debated whether an unbiased dataset can be constructed to model song performance in a meaningful way. ... -
Predicting Short-Term Water Consumption for Multi-Family Residences
(University of Waterloo, 2018-09-20)Smart water meters have been installed across Abbotsford, British Columbia, Canada, to measure the water consumption of households in the area. Using this water consumption data, we develop machine learning and deep learning ... -
Smart-Meter Enabled Estimation and Prediction of Outdoor Residential Water Consumption
(University of Waterloo, 2018-01-22)Smart meter technology allows frequent measurements of water consumption at a household level. This greater availability of data allows improved analysis of patterns of residential water consumption, which is important ...