Now showing items 736-755 of 1437

  • J-model: an open and social ensemble learning architecture for classification 

    Kim, Jinhan (The University of Edinburgh, 2012-11-29)
    Ensemble learning is a promising direction of research in machine learning, in which an ensemble classifier gives better predictive and more robust performance for classification problems by combining other learners. ...
  • Joint models for concept-to-text generation 

    Konstas, Ioannis (The University of Edinburgh, 2014-06-27)
    Much of the data found on the world wide web is in numeric, tabular, or other nontextual format (e.g., weather forecast tables, stock market charts, live sensor feeds), and thus inaccessible to non-experts or laypersons. ...
  • KAoS Policy Management for Semantic Web Services 

    Uszok, A; Bradshaw, J M; Jeffers, R; Johnson, M; Tate, Austin; Dalton, J; Aitken, Stuart (IEEE Computer Society, 2004)
    Despite rapid advances in Web Services, the user community as demanding requirements continue to outstrip available technology solutions. To help close this gap, Semantic Web Services advocates are defining and implementing ...
  • Kernel Carpentry for Online Regression using Randomly Varying Coefficient Model 

    Edakunni, Narayanan U.; Schaal, Stefan; Vijayakumar, Sethu (2006)
    We present a Bayesian formulation of locally weighted learning (LWL) using the novel concept of a randomly varying coefficient model. Based on this
  • Kinematics of cricket phonotaxis 

    Petrou, Georgios (The University of Edinburgh, 2012-11-29)
    Male crickets produce a species specific song to attract females which in response move towards the sound source. This behaviour, termed phonotaxis, has been the subject of many morphological, neurophysiological and ...
  • Knowledge Acquisition from Data Bases 

    Wu, Xindong (The University of Edinburgh: College of Science and Engineering: The School of Informatics, 1993-07)
    Knowledge acquisition from databases is a research frontier for both data base technology and machine learning (ML) techniques,and has seen sustained research over recent years.It also acts as a link between the two ...
  • 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 ...
  • Language of music: a computational model of music interpretation 

    McLeod, Andrew Philip (The University of Edinburgh, 2018-07-02)
    Automatic music transcription (AMT) is commonly defined as the process of converting an acoustic musical signal into some form of musical notation, and can be split into two separate phases: (1) multi-pitch detection, ...
  • 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 ...
  • Latent variable methods for visualization through time 

    Strachan, Iain Guy David (The University of Edinburgh, 2002)
  • 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 ...