Now showing items 1172-1191 of 2480

    • L1-Penalized Ordinal Regression and Bayesian Variable Selection for Linear Models with Multiple Responses 

      Chang, Ya-Ting (University of Waterloo, 2015-05-20)
      Polychotomous ordinal response data are often analyzed by first introduce a latent continuous variable which can be modeled as an ordinary regression problem with the presence of covariates by using Markov chain Monte Carlo ...
    • Landowner Perceptions Of The Value Of Natural Forest And Natural Grassland In A Mosaic Ecosystem In Southern Brazil 

      Henderson, Kirsten A.; Reis, Mateus; Blanco, Carolina C.; Pillar, Valerio D.; Printes, Rodrigo C.; Bauch, Chris T.; Anand, Madhur (Springer, 2016-03-01)
      The forest-grassland mosaics of southern Brazil have been subject to many land use and policy changes over the decades. Like many grasslands around the world, the Campos grasslands are declining with few conservation efforts ...
    • The Lang-Trotter conjecture for Drinfeld modules 

      Tweedle, David (University of Waterloo, 2011-08-22)
      In 1986, Gupta and Murty proved the Lang-Trotter conjecture in the case of elliptic curves having complex multiplication, conditional on the generalized Riemann hypothesis. That is, given a non-torsion point P∈E(ℚ), they ...
    • Large Aperiodic Semigroups 

      Brzozowski, Janusz; Szykuła, Marek (World Scientific Publishing, 2015-11-01)
      We search for the largest syntactic semigroups of star-free languages having n left quotients; equivalently, we look for the largest transition semigroups of aperiodic finite automata with n states. We first introduce ...
    • Large eddy simulations and subgrid scale motions in stratified turbulence 

      Khani, Sina (University of Waterloo, 2015-03-18)
      Direct numerical and large eddy simulations (DNS $\&$ LES) of decaying and forced stratified turbulence are studied in this thesis. By defining a test filter scale $k_c$ in the horizontal and vertical directions separately, ...
    • Large-Scale Emulation of Anonymous Communication Networks 

      Singh, Sukhbir (University of Waterloo, 2014-08-15)
      Tor is the most popular low-latency anonymous communication system for the Internet, helping people to protect their privacy online and circumvent Internet censorship. Its low- latency anonymity and distributed design ...
    • Late-lumping backstepping control of partial differential equations 

      Auriol, Jean; Morris, Kirsten; Di Meglio, Florent (Elsevier, 2019-02)
      We consider in this paper three different partial differential equations (PDEs) that can be exponentially stabilized using backstepping controllers. For implementation, a finite-dimensional controller is generally needed. ...
    • A Latent Health Factor Model for Estimating Estuarine Ecosystem Health 

      Wu, Margaret (University of Waterloo, 2009-05-20)
      Assessment of the “health” of an ecosystem is often of great interest to those interested in monitoring and conservation of ecosystems. Traditionally, scientists have quantified the health of an ecosystem using multimetric ...
    • Lattice Compression of Polynomial Matrices 

      Li, Chao (University of Waterloo, 2007-05-01)
      This thesis investigates lattice compression of polynomial matrices over finite fields. For an m x n matrix, the goal of lattice compression is to find an m x (m+k) matrix, for some relatively small k, such that the ...
    • Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness 

      Jeddi, Ahmadreza (University of Waterloo, 2020-08-19)
      Deep neural networks have been achieving state-of-the-art performance across a wide variety of applications, and due to their outstanding performance, they are being deployed in safety and security critical systems. However, ...
    • Learning Automatic Question Answering from Community Data 

      Wang, Di (University of Waterloo, 2012-09-19)
      Although traditional search engines can retrieval thousands or millions of web links related to input keywords, users still need to manually locate answers to their information needs from multiple returned documents or ...
    • Learning Energy-Aware Transaction Scheduling in Database Systems 

      Sethi, Udhav (University of Waterloo, 2021-09-20)
      Servers are typically sized to accommodate peak loads, but in practice, they remain under-utilized for much of the time. During periods of low load, there is an opportunity to save power by quickly adjusting processor ...
    • Learning Factors and Determining Document-level Satisfaction In Search-as-Learning 

      Abualsaud, Mustafa (University of Waterloo, 2017-04-26)
      An important use of search engines is as a tool for learning. Search engines help users find learning material and increases their knowledge in various topics. The underlying process of learning while web searching and ...
    • Learning Filters for the 2D Wavelet Transform 

      Recoskie, Daniel; Mann, Richard (IEEE, 2018)
      We propose a new method for learning filters for the 2D discrete wavelet transform. We extend our previous work on the 1D wavelet transform in order to process images. We show that the 2D wavelet transform can be represented ...
    • Learning From Almost No Data 

      Sucholutsky, Ilia (University of Waterloo, 2021-06-15)
      The tremendous recent growth in the fields of artificial intelligence and machine learning has largely been tied to the availability of big data and massive amounts of compute. The increasingly popular approach of training ...
    • Learning from Green Technology Designers 

      Friedberg, Earl (University of Waterloo, 2014-02-13)
      This thesis presents results from a qualitative case study on environmentally minded technology designers, and provides an account of how these designers think, differ and behave. Through semi-structured interviews, we ...
    • Learning from Partially Labeled Data: Unsupervised and Semi-supervised Learning on Graphs and Learning with Distribution Shifting 

      Huang, Jiayuan (University of Waterloo, 2007-08-20)
      This thesis focuses on two fundamental machine learning problems:unsupervised learning, where no label information is available, and semi-supervised learning, where a small amount of labels are given in addition to unlabeled ...
    • Learning in large-scale spiking neural networks 

      Bekolay, Trevor (University of Waterloo, 2011-08-31)
      Learning is central to the exploration of intelligence. Psychology and machine learning provide high-level explanations of how rational agents learn. Neuroscience provides low-level descriptions of how the brain changes ...
    • Learning Instruction Scheduling Heuristics from Optimal Data 

      Russell, Tyrel Clinton (University of Waterloo, 2006)
      The development of modern pipelined and multiple functional unit processors has increased the available instruction level parallelism. In order to fully utilize these resources, compiler writers spend large amounts of ...
    • Learning Quantum States Without Entangled Measurements 

      Lowe, Angus (University of Waterloo, 2021-10-22)
      How many samples of a quantum state are required to learn a complete description of it? As we will see in this thesis, the fine-grained answer depends on the measurements available to the learner, but in general it is at ...

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