Browsing Mathematics (Faculty of) by Title
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L1Penalized Ordinal Regression and Bayesian Variable Selection for Linear Models with Multiple Responses
(University of Waterloo, 20150520)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
(Springer, 20160301)The forestgrassland 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 LangTrotter conjecture for Drinfeld modules
(University of Waterloo, 20110822)In 1986, Gupta and Murty proved the LangTrotter conjecture in the case of elliptic curves having complex multiplication, conditional on the generalized Riemann hypothesis. That is, given a nontorsion point P∈E(ℚ), they ... 
Large Aperiodic Semigroups
(World Scientific Publishing, 20151101)We search for the largest syntactic semigroups of starfree languages having n left quotients; equivalently, we look for the largest transition semigroups of aperiodic finite automata with n states. We first introduce ... 
Large DatatoText Generation
(University of Waterloo, 20230516)This thesis presents a domaindriven approach to sports game summarization, a specific instance of large datatotext generation (DTG). We first address the data fidelity issue in the Rotowire dataset by supplementing ... 
Large eddy simulations and subgrid scale motions in stratified turbulence
(University of Waterloo, 20150318)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, ... 
LargeScale Emulation of Anonymous Communication Networks
(University of Waterloo, 20140815)Tor is the most popular lowlatency anonymous communication system for the Internet, helping people to protect their privacy online and circumvent Internet censorship. Its low latency anonymity and distributed design ... 
A Las Vegas Algorithm for the Ordered Majority Problem
(University of Waterloo, 20220929)In this thesis, we study the majority problem using ordered comparisons under the Las Vegas randomized algorithm model. The majority problem asks whether a given set of n elements, each with some colour, has a colour which ... 
Latelumping backstepping control of partial differential equations
(Elsevier, 201902)We consider in this paper three different partial differential equations (PDEs) that can be exponentially stabilized using backstepping controllers. For implementation, a finitedimensional controller is generally needed. ... 
A Latent Health Factor Model for Estimating Estuarine Ecosystem Health
(University of Waterloo, 20090520)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
(University of Waterloo, 20070501)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 ... 
Lattice Paths
(University of Waterloo, 20220824)This thesis is a survey of some of the well known results in lattice path theory. Chapter 1 looks into the history of lattice paths. That is, when it began and how it was popularized. Chapter 3 focuses on general lattices ... 
Learn Privacyfriendly Global Gaussian Processes in Federated Learning
(University of Waterloo, 20220817)In the era of big data, Federated Learning (FL) has drawn great attention as it naturally operates on distributed computational resources without the need of data warehousing. Similar to Distributed Learning (DL), FL ... 
Learn2Perturb: an Endtoend Feature Perturbation Learning to Improve Adversarial Robustness
(University of Waterloo, 20200819)Deep neural networks have been achieving stateoftheart 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
(University of Waterloo, 20120919)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 by Teaching: Key Challenges and Design Implications
(University of Waterloo, 20220117)Benefits of learning by teaching (LbT) have been highlighted by previous studies from a pedagogical lens, as well as through computersupported systems. However, the challenges that university students face in technologymediated ... 
Learning EnergyAware Transaction Scheduling in Database Systems
(University of Waterloo, 20210920)Servers are typically sized to accommodate peak loads, but in practice, they remain underutilized 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 Documentlevel Satisfaction In SearchasLearning
(University of Waterloo, 20170426)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
(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
(University of Waterloo, 20210615)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 ...