Browsing Theses by Subject "kernel methods"
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Image Analysis Applications of the Maximum Mean Discrepancy Distance Measure
(University of Waterloo, 2013-05-23)The need to quantify distance between two groups of objects is prevalent throughout the signal processing world. The difference of group means computed using the Euclidean, or L2 distance, is one of the predominant distance ... -
Kernel Methods and Measures for Classification with Transparency, Interpretability and Accuracy in Health Care
(University of Waterloo, 2018-09-05)Support vector machines are a popular method in machine learning. They learn from data about a subject, for example, lung tumors in a set of patients, to classify new data, such as, a new patient’s tumor. The new tumor is ... -
Kernel Methods in Computer-Aided Constructive Drug Design
(University of Waterloo, 2009-05-14)A drug is typically a small molecule that interacts with the binding site of some target protein. Drug design involves the optimization of this interaction so that the drug effectively binds with the target protein while ...