Now showing items 1-19 of 19

    • Actionable Three-Way Decisions 

      Gao, Cong (Faculty of Graduate Studies and Research, University of Regina, 2018-09)
      In this thesis, we analyze both the trisecting and acting aspects of three-way decisions. In an evaluation based model of three-way decisions, there are two steps: trisecting and acting. The trisecting step constructs ...
    • A Classification of Homogeneous Kȁhler Manifolds with Discrete Isotropy and Top Non Vanishing Homology in Codimension Two 

      Ahmadi, Seyedruhallah (Faculty of Graduate Studies and Research, University of Regina, 2013-07)
      Suppose G is a connected complex Lie group and 􀀀 is a discrete subgroup such that X := G=􀀀 is K ahler and the codimension of the top non{vanishing homology group of X with coe cients in Z2 is less than or equal to ...
    • Complexity Parameters for Learning Multi-Label Concept Classes, 

      Samei, Rahim (Faculty of Graduate Studies and Research, University of Regina, 2015-03)
      In Computational Learning Theory, one way to model a concept is to consider it as a member of the Cartesian products of instances (sets), where each instance may correspond to a binary or multi-valued domain. A concept ...
    • A Cost-Sensitive Approach to Ternary Classification 

      Zhou, Bing (Faculty of Graduate Studies and Research, University of Regina, 2012-07)
      Bayesian inference and rough set theory provide two approaches to data analysis. There are close connections between the two theories as they both use probabilities to express uncertainties and knowledge about data. ...
    • The diabetic patient software agent. 

      Wang, Zhanle (Faculty of Graduate Studies and Research, University of Regina, 2012-07)
      The purpose of this thesis is to develop an agent-based simulation model of a diabetic patient‟s blood glucose levels in which the efficiency of various treatment strategies can be evaluated in a micro scope. A further ...
    • Facet-Time: Using Information Seeking Strategies to Support Exploration of Time Series Data 

      Butt, Haider Ali (Faculty of Graduate Studies and Research, University of Regina, 2019-12)
      The notion of time has important value in people’s lives. By analyzing timeoriented data, we can understand underlying trends in the data. Graphically representing the data is useful for analysis because a single ...
    • The Influence of Scoring Parameters on Precision-Based AdaBoost 

      Movahedan Peymanhagh, Marjan (Faculty of Graduate Studies and Research, University of Regina, 2019-12)
      Many problems in data science involve classification, i.e., dividing a dataset into dif- ferent predefined classes. Such classification problems are often solved with machine learning techniques. Using a combination of ...
    • Knowledge Management Using SpiCE 

      Maciag, Timothy Joseph (Faculty of Graduate Studies and Research, University of Regina, 2016-06)
      The idea of Knowledge Management (KM) is continually evolving. A traditional and popular idea of KM is one that emphasizes the activity of transforming data to in- formation, and information to knowledge. Another popular ...
    • Modelling Artificial Intelligence in Games Using MindSet Behavior Trees 

      Marcotte, Ryan Keith (Faculty of Graduate Studies and Research, University of Regina, 2017-05)
      Behavior trees are a popular way of structuring artificial intelligence in games and other virtual reality applications. A behavior tree is a model of plan execution and is graphically represented as a tree. Nodes in a ...
    • The PLANI Plant Animation Framework 

      Sturgeon, Tina Louise Mary (Faculty of Graduate Studies and Research, University of Regina, 2020-01)
      This thesis presents the unique PLANI plant animation framework for animation using dynamic plant models along with three novel demonstrations of the use of the framework. A dynamic plant model is a computer-based rep ...
    • Precision-Based Selection Criteria for Classification with Ensembles of Learners 

      Nikravan, Mohammad Hossein (Faculty of Graduate Studies and Research, University of Regina, 2016-10)
      A core problem in machine learning is to learn classi ers that categorize data into two or more classes. An ensemble of classi ers is made by integrating a set of base classi- ers to build a predictive model. In this ...
    • Prediction of Retail Prices Using Local Competitors 

      Ahmad, Hassan Waqar (Faculty of Graduate Studies and Research, University of Regina, 2014-12)
      One of many applications of data mining is the prediction of retail prices. Often the price of a product at a store depends on the price of the same product at other stores. Our focus is to predict two types of prices, ...
    • Procrustes: A Declarative Scene Modelling System 

      Seenappa, Spoorthy (Faculty of Graduate Studies and Research, University of Regina, 2012-10)
      This thesis presents a floor planning and furniture layout system called Procrustes, that helps a user to place rooms and furniture in a virtual house. Scenes are generated by considering the user's partial scene description. ...
    • Real-Time Vehicle Make and Model Recognition System 

      Manzoor, Muhammad Asif (Faculty of Graduate Studies and Research, University of Regina, 2018-01)
      Automatic License Plate Recognition (LPR) is a basic computer vision problem. LPR has been thoroughly explored and is widely considered to be a well-understood problem. LPR systems are widely deployed all across the globe ...
    • Retail Price Time Series Imputation 

      Malik, Obaid Ullah (Faculty of Graduate Studies and Research, University of Regina, 2014-06)
      A regular, discrete time series is an ordered sequence of coarse-grained observations taken at fixed time intervals. Here we consider regular, discrete, retail price time series datasets acquired through crowdsourcing. ...
    • REVO: A flexible, volumetric approach to mesh construction 

      Bayeh, Fatemeh (Faculty of Graduate Studies and Research, University of Regina, 2017-02)
      Meshes are used in a variety of applications to specify the three dimensional (3D) shapes of objects in simulated scenes. For example, a mesh can be used as an animal in an animation movie, a soldier in a video game, or ...
    • A Rough Set Analysis of Facial Similarity Judgements 

      Spring, Richard William (Faculty of Graduate Studies and Research, University of Regina, 2012-03)
      Facial recognition is routine for most people; yet the process of facial recognition or describing a face to be recognized, reveals a great deal of complexity inherent in the activity. Eyewitness identification remains ...
    • Screen Space Reflection Techniques 

      Beug, Anthony Paul (Faculty of Graduate Studies and Research, University of Regina, 2020-01)
      Ray tracing is a rendering technique in computer graphics that can simulate a variety of optical effects, such as reflection from smooth surfaces, refraction through transparent objects, and light scattering on rough ...
    • Summarizing Conditional Preference Networks 

      Ali, Abu Mohammad Hammad (Faculty of Graduate Studies and Research, University of Regina, 2019-04)
      Preference modeling has been studied extensively in the literature, and has applications in recommender systems and automated decision-making. The eventual objective of working with preference models is to be able to ...