Now showing items 648-667 of 1266

  • Language Interoperability and Logic Programming Languages 

    Cook, Jonathan J (University of Edinburgh. College of Science and Engineering. School of Informatics., 2005-06)
    We discuss P#, our implementation of a tool which allows interoperation between a concurrent superset of the Prolog programming language and C#. This enables Prolog to be used as a native implementation language for ...
  • The Language of Weblogs: A study of genre and individual differences 

    Nowson, Scott (University of Edinburgh. College of Science and Engineering. School of Informatics., 2006-06)
    This thesis describes a linguistic investigation of individual differences in online personal diaries, or 'blogs.' There is substantial evidence of gender differences in language (Lakoff, 1975), and to a lesser extent ...
  • Language Processing and the Mental Representation of Syntactic Structure 

    Brannigan, Holly P (University of Edinburgh. College of Science and Engineering. School of Informatics., 1996-07)
    This thesis investigates the mental representation of syntactic structure. It takes an interdisciplinary approach which exploits methods and insights from both experimental psychology and theoretical linguistics to explore ...
  • Latent Spaces for Dynamic Movement Primitives 

    Bitzer, Sebastian; Vijayakumar, Sethu (2009)
    Dynamic movement primitives (DMPs) have been proposed as a powerful, robust and adaptive tool for planning robot trajectories based on demonstrated example movements. Adaptation of DMPs to new task requirements becomes ...
  • Lax Logical Relations 

    Plotkin, Gordon; Power, John; Sannella, Donald; Tennent, Robert (SPRINGER-VERLAG, 2000)
    Lax logical relations are a categorical generalisation of logical relations; though they preserve product types, they need not preserve exponential types. But, like logical relations, they are preserved by the meanings ...
  • Layered AI architecture for team based first person shooter video games 

    Graham, Philip Mike (The University of Edinburgh, 2011-06-30)
    In this thesis an architecture, similar to subsumption architectures, is presented which uses low level behaviour modules, based on combinations of machine learning techniques, to create teams of autonomous agents ...
  • Learning action representations using kernel perceptrons 

    Mourao, Kira Margaret Thom (The University of Edinburgh, 2012-11-29)
    Action representation is fundamental to many aspects of cognition, including language. Theories of situated cognition suggest that the form of such representation is distinctively determined by grounding in the real ...
  • Learning by Game-Building in Theoretical Computer Science Education 

    Hutchins-Korte, Laura (The University of Edinburgh, 2008)
    It has been suggested that theoretical computer science (TCS) suffers more than average from a lack of intrinsic motivation. The reasons provided in the literature include the difficulty of the subject, lack of relevance ...
  • Learning Concepts through Multi-Class Diverse Density 

    Hiransoog, Chalita (The University of Edinburgh, 2008)
    This research investigates the possibility of creating an intelligent system based on the philosophy that the world is ambiguous and a system gains knowledge by learning from these ambiguous examples where the learning ...
  • Learning control knowledge within an explanation-based learning framework 

    Desimone, Roberto V. (The University of Edinburgh, 1989)
  • Learning control policies from constrained motion 

    Howard, Matthew (The University of Edinburgh, 2009)
    Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the task or the environment. Constraints are usually unobservable and frequently change between contexts. In ...
  • Learning Dialogue Strategies from Older and Younger Simulated Users 

    Kallirroi, Georgila; Wolters, Maria K.; Moore, Johanna D. (2010-10-28)
    Older adults are a challenging user group because their behaviour can be highly variable. To the best of our knowledge, this is the first study where dialogue strategies are learned and evaluated with both simulated younger ...
  • Learning Discontinuities with Product-of-Sigmoids for Switching between Local Models 

    Toussaint, Marc; Vijayakumar, Sethu (ACM Press New York, 2005)
    Sensorimotor data from many interesting physical interactions comprises discontinuities. While existing locally weighted learning approaches aim at learning smooth functions
  • Learning domain abstractions for long lived robots 

    Rosman, Benjamin Saul (The University of Edinburgh, 2014-06-27)
    Recent trends in robotics have seen more general purpose robots being deployed in unstructured environments for prolonged periods of time. Such robots are expected to adapt to different environmental conditions, and ...
  • Learning Dynamics for Robot Control under Varying Contexts 

    Petkos, Georgios (The University of Edinburgh, 2008)
    High fidelity, compliant robot control requires a sufficiently accurate dynamics model. Often though, it is not possible to obtain a dynamics model sufficiently accurately or at all using analytical methods. In such ...
  • Learning generative models of mid-level structure in natural images 

    Heess, Nicolas Manfred Otto (The University of Edinburgh, 2012-06-25)
    Natural images arise from complicated processes involving many factors of variation. They reflect the wealth of shapes and appearances of objects in our three-dimensional world, but they are also affected by factors such ...
  • Learning in a State of Confusion: Employing active perception and reinforcement learning in partially observable worlds 

    Crook, Paul A (University of Edinburgh. College of Science and Engineering. School of Informatics., 2007-06)
    In applying reinforcement learning to agents acting in the real world we are often faced with tasks that are non-Markovian in nature. Much work has been done using state estimation algorithms to try to uncover Markovian ...
  • Learning in adaptive networks: analytical and computational approaches 

    Yang, Guoli (The University of Edinburgh, 216-11-29)
    The dynamics on networks and the dynamics of networks are usually entangled with each other in many highly connected systems, where the former means the evolution of state and the latter means the adaptation of structure. ...
  • Learning Inequated Range Restricted Horn Expressions 

    Arias, Marta; Khardon, Roni (2000-03)
    A learning algorithm for the class of inequated range restricted Horn expressions is presented and proved correct. The main property of this class is that all the terms in the conclusion of a clause appear in the antecedent ...
  • Learning Multiple Models of Non-Linear Dynamics for Control under Varying Contexts 

    Petkos, Georgios; Toussaint, Marc; Vijayakumar, Sethu (2006-09)
    For stationary systems, efficient techniques for adaptive motor control exist which learn the system’s inverse dynamics online and use this single model for control. However, in realistic domains the system dynamics often ...