Browsing University of Waterloo by Subject "PCA"
Now showing items 1-6 of 6
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Directional Control of Generating Brownian Path under Quasi Monte Carlo
(University of Waterloo, 2012-09-10)Quasi-Monte Carlo (QMC) methods are playing an increasingly important role in computational finance. This is attributed to the increased complexity of the derivative securities and the sophistication of the financial models. ... -
Feature Identification
(University of Waterloo, 2020-08-04)We present several methods for identifying time periods of interest (features) in a wide range of data sets. The gamma method is a computationally inexpensive, flexible feature identification method which uses a comparison ... -
Machine Learning Topological Defects of Liquid Crystals in Two Dimensions
(University of Waterloo, 2019-08-26)Over the recent few years, condensed matter physics has keenly been testing out the compelling techniques from the toolbox of machine learning. Order parameters, phase transitions, and other thermodynamic quantities have ... -
Niceness assumptions for Learning Algorithms
(University of Waterloo, 2014-08-01)Various machine learning algorithms like Neural Networks, Linear Regression, Feature Learning etc. are being employed successfully in a wide variety of applications like computer vision, speech recognition, bioinformatics ... -
Robustness in Dimensionality Reduction
(University of Waterloo, 2016-04-14)Dimensionality reduction is widely used in many statistical applications, such as image analysis, microarray analysis, or text mining. This thesis focuses on three problems that relate to the robustness in dimension ... -
Statistical Muon Tracking: A Study of Cosmic Backgrounds in the PROSPECT Experiment
(University of Waterloo, 2021-09-30)The Precision Reactor Oscillation and Spectrum Experiment (PROSPECT) has successfully demonstrated novel particle identification strategies with minimal protection from cosmic events. Located at the High Flux Isotope Reactor ...