Now showing items 2560-2579 of 3004

    • Spam Filter Improvement Through Measurement 

      Lynam, Thomas Richard (University of Waterloo, 2009-04-27)
      This work supports the thesis that sound quantitative evaluation for spam filters leads to substantial improvement in the classification of email. To this end, new laboratory testing methods and datasets are introduced, ...
    • Sparse Automatic Sets 

      Albayrak, Seda (University of Waterloo, 2020-11-26)
      The theory of automatic sets and sequences arises naturally in many different areas of mathematics, notably in the study of algebraic power series in positive characteristic, due to work of Christol, and in Derksen's ...
    • Sparse Identification of Epidemiological Models from Empirical Data 

      Horrocks, Jonathan H. (University of Waterloo, 2018-09-20)
      Current modelling practices in mathematical epidemiology are predicated on mechanisms stemming from theoretical assumptions, such as mass action incidence. Deterministic disease models can describe many patterns observed ...
    • Sparse Models in High-Dimensional Dependence Modelling and Index Tracking 

      Han, Dezhao (University of Waterloo, 2017-01-17)
      This thesis is divided into two parts. The first part proposes parsimonious models to the vine copula. The second part is devoted to the index tracking problem. Vine copulas provide a flexible tool to capture asymmetry ...
    • Sparse Polynomial Interpolation and Testing 

      Arnold, Andrew (University of Waterloo, 2016-03-03)
      Interpolation is the process of learning an unknown polynomial f from some set of its evaluations. We consider the interpolation of a sparse polynomial, i.e., where f is comprised of a small, bounded number of terms. Sparse ...
    • A Sparse Random Feature Model for Signal Decomposition 

      Richardson, Nicholas Joseph Emile (University of Waterloo, 2022-05-11)
      Signal decomposition and multiscale signal analysis provide useful tools for time-frequency analysis. In this thesis, an overview of the signal decomposition problem is given and popular methods are discussed. A novel ...
    • Sparsity in Critical Graphs with Small Clique Number 

      Kroeker, Matthew Eliot (University of Waterloo, 2020-08-27)
      In 1998, Reed conjectured that for every graph $G$, $\chi(G) \leq \lceil \frac{1}{2}(\Delta(G)+1+\omega(G)) \rceil$, and proved that there exists $\varepsilon > 0$ such that $\chi(G) \leq \lceil (1 - \varepsilon)(\Delta(G)+1) ...
    • Spatial and Temporal Discounting in a Social-Climate Model 

      Cameron, Mackenzie (University of Waterloo, 2024-01-25)
      This thesis analyzes how individuals' devaluation of distant impacts of climate change affects mitigation behaviours and projected climate conditions. To approach this question, spatial and temporal discounting is applied ...
    • Spatial Auditory Maps for Blind Travellers 

      Talbot, Martin (University of Waterloo, 2011-05-13)
      Empirical research shows that blind persons who have the ability and opportunity to access geographic map information tactually, benefit in their mobility. Unfortunately, tangible maps are not found in large numbers. ...
    • Spatial correlation as an early warning signal of regime shifts in a multiplex disease-behaviour network 

      Jentsch, Peter; Anand, Madhur; Bauch, Chris T. (Elsevier, 2018-07-07)
      Early warning signals of sudden regime shifts are a widely studied phenomenon for their ability to quantify a system’s proximity to a tipping point to a new and contrasting dynamical regime. However, this effect has been ...
    • A spatial version of Wedderburn’s Principal Theorem 

      Livshits, L.; MacDonald, G.W.; Marcoux, L.W.; Radjavi, H. (Taylor & Francis, 2015)
      In this article we verify that ‘Wedderburn’s Principal Theorem’ has a particularly pleasant spatial implementation in the case of cleft subalgebras of the algebra of all linear transformations on a finite-dimensional vector ...
    • A spatially explicit modelling approach for predicting and managing the effects of coral reef stressors 

      Milne, Russell (University of Waterloo, 2022-09-09)
      Coral reefs represent simultaneously one of the most beloved and one of the most endangered ecosystems in the world. Millions of people visit coral reefs every year for tourism purposes, and millions of people living in ...
    • Spatially localized cluster solutions in inhibitory neural networks 

      Ryu, Hwayeon; Miller, Jennifer; Teymuroglu, Zeynep; Wang, Xueying; Booth, Victoria; Campbell, Sue Ann (Elsevier, 2021-06)
      Neurons in the inhibitory network of the striatum display cell assembly firing patterns which recent results suggest may consist of spatially compact neural clusters. Previous computational modeling of striatal neural ...
    • Spatially-Implicit Modelling Of Disease-Behaviour Interactions In The Context Of Non-Pharmaceutical Interventions 

      Ringa, Notice; Bauch, Chris T. (American Institute of Mathematical Sciences, 2018-04-01)
      Pair approximation models have been used to study the spread of infectious diseases in spatially distributed host populations, and to explore disease control strategies such as vaccination and case isolation. Here we ...
    • Spaun 2.0: Extending the World’s Largest Functional Brain Model 

      Choo, Feng-Xuan (University of Waterloo, 2018-05-17)
      Building large-scale brain models is one method used by theoretical neuroscientists to understand the way the human brain functions. Researchers typically use either a bottom-up approach, which focuses on the detailed ...
    • Specializing Scala with Truffle 

      You, James (University of Waterloo, 2022-11-24)
      Scala is a generic object-oriented programming language with higher-order abstractions. Programming abstractions in Scala exemplify reusability and extensibility in the context of type safety. In particular, generic ...
    • Specification and Implementation of Workflow Control Patterns in Reo 

      Mousavi Bafrooi, Seyedeh Elham (University of Waterloo, 2006)
      Abstract <br /><br /> Coordination models and languages are relatively new methods in modeling component-based software systems. These models and languages separate the communication aspect of systems from their ...
    • Specification Based Bug Detection for Embedded Software 

      Chaudhary, Sandeep Kumar (University of Waterloo, 2014-11-05)
      Traditional compilers do not automatically analyze processor specifications, thousands of pages of which are available for modern processors. The specifications describe constraints and requirements for processors, and ...
    • Spectral analysis of internal waves generated by tide-topography interaction 

      Korobov, Alexander (University of Waterloo, 2007-08-21)
      Internal waves in the deep ocean play a deciding role in processes such as climate change and nutrient cycles. Winds and tidal currents over topography feed energy into internal waves at large scales; through nonlinear ...
    • Spectral Analysis of Laplacians on Certain Fractals 

      Zhou, Denglin (University of Waterloo, 2007-12-06)
      Surprisingly, Fourier series on certain fractals can have better convergence properties than classical Fourier series. This is a result of the existence of gaps in the spectrum of the Laplacian. In this work we prove a ...

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