Now showing items 476-495 of 929

  • 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 ...
  • 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 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 representations for speech recognition using artificial neural networks 

    Swietojanski, Paweł (The University of Edinburgh, 2016-11-29)
    Learning representations is a central challenge in machine learning. For speech recognition, we are interested in learning robust representations that are stable across different acoustic environments, recording equipment ...
  • Learning to hash for large scale image retrieval 

    Moran, Sean James (The University of Edinburgh, 2016-06-27)
    This thesis is concerned with improving the effectiveness of nearest neighbour search. Nearest neighbour search is the problem of finding the most similar data-points to a query in a database, and is a fundamental operation ...
  • Learning to tell tales: automatic story generation from Corpora 

    McIntyre, Neil Duncan (The University of Edinburgh, 2011-06-30)
    Automatic story generation has a long-standing tradition in the field of Artificial Intelligence. The ability to create stories on demand holds great potential for entertainment and education. For example, modern computer ...
  • Learning user modelling strategies for adaptive referring expression generation in spoken dialogue systems 

    Janarthanam, Srinivasan Chandrasekaran (The University of Edinburgh, 2011-06-30)
    We address the problem of dynamic user modelling for referring expression generation in spoken dialogue systems, i.e how a spoken dialogue system should choose referring expressions to refer to domain entities to users ...
  • Learning visually grounded meaning representations 

    Silberer, Carina Helga (The University of Edinburgh, 2015-11-26)
    Humans possess a rich semantic knowledge of words and concepts which captures the perceivable physical properties of their real-world referents and their relations. Encoding this knowledge or some of its aspects is the ...
  • Learning words and syntactic cues in highly ambiguous contexts 

    Jones, Bevan Keeley (The University of Edinburgh, 2016-06-27)
    The cross-situational word learning paradigm argues that word meanings can be approximated by word-object associations, computed from co-occurrence statistics between words and entities in the world. Lexicon acquisition ...