Browsing Theses by Subject "support vector machines"
Now showing items 1-4 of 4
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Efficient Kernel Methods for Statistical Detection
(University of Waterloo, 2008-03-28)This research is motivated by a drug discovery problem -- the AIDS anti-viral database from the National Cancer Institute. The objective of the study is to develop effective statistical methods to model the relationship ... -
Intent Classification during Human-Robot Contact
(University of Waterloo, 2020-10-15)Robots are used in many areas of industry and automation. Currently, human safety is ensured through physical separation and safeguards. However, there is increasing interest in allowing robots and humans to work in close ... -
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 ... -
Variability-Aware Performance Prediction: A Case Study
(University of Waterloo, 2014-10-28)Configurable software systems allow users to form configurations by selecting and deselecting features. The process of configuration creation may directly affect performance of the system in a non-linear way because of ...