Now showing items 267-286 of 3004

    • A Bias-Variance-Privacy Trilemma for Statistical Estimation 

      Regehr, Matthew (University of Waterloo, 2023-08-28)
      The canonical algorithm for differentially private mean estimation is to first clip the samples to a bounded range and then add noise to their empirical mean. Clipping controls the sensitivity and, hence, the variance of ...
    • Bidirectional Learning in Recurrent Neural Networks Using Equilibrium Propagation 

      Khan, Ahmed Faraz (University of Waterloo, 2018-09-26)
      Neurobiologically-plausible learning algorithms for recurrent neural networks that can perform supervised learning are a neglected area of study. Equilibrium propagation is a recent synthesis of several ideas in biological ...
    • Bidirectional TopK Sparsification for Distributed Learning 

      Zou, William (University of Waterloo, 2022-05-27)
      Training large neural networks requires a large amount of time. To speed up the process, distributed training is often used. One of the largest bottlenecks in distributed training is communicating gradients across different ...
    • Bifurcation analysis and application for impulsive systems with delayed impulses 

      Church, Kevin E.M.; Liu, Xinzhi (World Scientific, 2017-11)
      In this article, we present a systematic approach to bifurcation analysis of impulsive systems with autonomous or periodic right-hand sides that may exhibit delayed impulse terms. Methods include Lyapunov–Schmidt reduction ...
    • Bifurcation analysis of a system of Morris-Lecar neurons with time delayed gap junctional coupling 

      Kobelevskiy, Ilya (University of Waterloo, 2008-08-27)
      We consider a system of two identical Morris-Lecar neurons coupled via electrical coupling. We focus our study on the effects that the coupling strength, γ , and the coupling time delay, τ , cause on the dynamics of the ...
    • Bifurcation Analysis of Large Networks of Neurons 

      Nicola, Wilten (University of Waterloo, 2015-12-23)
      The human brain contains on the order of a hundred billion neurons, each with several thousand synaptic connections. Computational neuroscience has successfully modeled both the individual neurons as various types of ...
    • Bifurcation and Robust Control of Instabilities in the Presence of Uncertainties 

      Meng, Yiming (University of Waterloo, 2022-10-06)
      In real-world applications, nominal mathematical models that are used to describe the state behaviors of dynamical systems are usually less robust to deal with environmental disruptions. Uncertainties, such as imprecision ...
    • Bifurcation of Bounded Solutions of Impulsive Differential Equations 

      Church, Kevin E. M.; Liu, Xinzhi (World Scientific Publishing, 2016-12-30)
      In this article, we examine nonautonomous bifurcation patterns in nonlinear systems of impulsive differential equations. The approach is based on Lyapunov–Schmidt reduction applied to the linearization of a particular ...
    • Binary Adder Circuits of Asymptotically Minimum Depth, Linear Size, and Fan-Out Two 

      Held, Stephan; Spirkl, Sophie (Association for Computing Machinery, 2018-01)
      We consider the problem of constructing fast and small binary adder circuits. Among widely used adders, the Kogge-Stone adder is often considered the fastest, because it computes the carry bits for two n-bit numbers (where ...
    • Biological Plausibility in Modern Hopfield Networks 

      Snow, Mallory (University of Waterloo, 2022-12-19)
      Modern Hopfield Networks (HNs) have the ability to store a large number of target memories (e.g. binary patterns) and then recall a memory in its entirety when prompted by a sub-set or perturbed version of it; in this ...
    • Biologically Inspired Adaptive Control of Quadcopter Flight 

      Komer, Brent (University of Waterloo, 2015-08-20)
      This thesis explores the application of a biologically inspired adaptive controller to quadcopter flight control. This begins with an introduction to modelling the dynamics of a quadcopter, followed by an overview of control ...
    • Biologically inspired methods in speech recognition and synthesis: closing the loop 

      Bekolay, Trevor (University of Waterloo, 2016-02-18)
      Current state-of-the-art approaches to computational speech recognition and synthesis are based on statistical analyses of extremely large data sets. It is currently unknown how these methods relate to the methods that ...
    • Biologically Plausible Neural Learning using Symmetric Predictive Estimators 

      Xu, David (University of Waterloo, 2016-08-04)
      A predictive estimator (PE) is a neural microcircuit hypothesized to explain how the brain processes certain types of information. They participate in a hierarchy, passing predictions to lower layers, which send back ...
    • Biologically Plausible, Human-scale Knowledge Representation 

      Crawford, Eric (University of Waterloo, 2014-08-22)
      Several approaches to implementing symbol-like representations in neurally plausible models have been proposed. These approaches include binding through synchrony, mesh binding, and tensor product binding. Recent theoretical ...
    • BioSpec: A Biophysically-Based Spectral Model of Light Interaction with Human Skin 

      Krishnaswamy, Aravind (University of Waterloo, 2005)
      Despite the notable progress in physically-based rendering, there is still a long way to go before we can automatically generate predictable images of biological materials. In this thesis, we address an open problem in ...
    • Bipartite Distance-Regular Graphs of Diameter Four 

      Huang, Junbo (University of Waterloo, 2014-08-11)
      Using a method by Godsil and Roy, bipartite distance-regular graphs of diameter four can be used to construct $\{0,\alpha\}$-sets, a generalization of the widely applied equiangular sets and mutually unbiased bases. In ...
    • Bipartite Quantum Walks and the Hamiltonian 

      Chen, Qiuting (University of Waterloo, 2023-09-26)
      We study a discrete quantum walk model called bipartite walks via a spectral approach. A bipartite walk is determined by a unitary matrix U, i.e., the transition matrix of the walk. For every transition matrix U, there is ...
    • Bitemporal Sliding Windows 

      Ge, Chang (University of Waterloo, 2014-04-29)
      The bitemporal data model associates two time intervals with each record - system time and application time - denoting the validity of the record from the perspective of the database and of the real world, respectively. ...
    • Black Hole to White Hole Quantum Tunnelling 

      Clements, Kate Elizabeth Alexandra (University of Waterloo, 2019-08-26)
      In this thesis, we explore the proposal that near the end of its lifetime, a Schwarzschild black hole will undergo a quantum transition into a 'white hole': an object which is precisely the time-reversal of the black hole. ...
    • The Black-Scholes and Heston Models for Option Pricing 

      Ye, Ziqun (University of Waterloo, 2013-05-22)
      Stochastic volatility models on option pricing have received much study following the discovery of the non-at implied surface following the crash of the stock markets in 1987. The most widely used stochastic volatility ...

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