Research Commons

Browsing by Type "Working Paper"

Research Commons

Browsing by Type "Working Paper"

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  • Lowe, Alan (2000)
    This paper will outline a research methodology informed by theorists who have contributed to actor network theory (ANT). Research informed from such a perspective recognises the constitutive role of accounting systems in ...
  • Bouckaert, Remco R. (2002)
    This paper is an attempt to increase the understanding in the behavior of ensembles for discrete variables in a quantitative way. A set of tight upper and lower bounds for the accuracy of an ensemble is presented for wide ...
  • Teahan, W.J.; Cleary, John G. (1997)
    High quality models of English text with performance approaching that of humans is important for many applications including spelling correction, speech recognition, OCR, and encryption. A number of different statistical ...
  • Junmanee, Saijai; Hinze, Annika (2005)
    An advanced tourist information provider system delivers information regarding sights and events on their users' travel route. In order to give sophisticated personalized information about tourist attractions to their ...
  • Matlaba, Valente José; Holmes, Mark J.; McCann, Philip; Poot, Jacques (University of Waikato, 2012)
    This paper focuses on manufacturing employment growth across the 26 states of Brazil. We employ the Glaeser et al. (1992) approach to identify the role played by knowledge externalities in growth and convergence. To assess ...
  • de Groot, Henri L. F.; Poot, Jacques; Smit, Martijn J. (2008)
    Technological change and innovation and are central to the quest for regional development. In the globally-connected knowledge-driven economy, the relevance of agglomeration forces that rely on proximity continues to ...
  • Francis, Graham; Humphreys, Ian; Ison, Stephen; Aldridge, Kelly (2004)
    Airport surface access is increasingly seen as a major problem not only in the UK but worldwide given its impact in terms of both traffic congestion and environmental degradation. In 1998 the UK Government published a White ...
  • DeWar, Rhys; McQueen, Robert J. (University of Waikato, Department of Computer Science, 1995)
    This report discusses the use of machine learning tools to examine datasets extracted from a database of dairy cows. The objective of the study was to investigate whether these machine learning tools could extract meaningful ...
  • Oxley, Les; Sadetskaya, Ekaterina (University of Waikato, 2013)
    The paper discusses the construction of a new Consumer Price Index (CPI) for New Zealand, 1885-1913, based upon aggregation of data from the four largest provincial districts: Auckland, Canterbury, Otago and Wellington. ...
  • Jones, Steve; Cunningham, Sally Jo; McNab, Rodger J. (University of Waikato, Department of Computer Science, 1998)
    As experimental digital library testbeds gain wider acceptance and develop significant user bases, it becomes important to investigate the ways in which users interact with the systems in practice. Transaction logs are one ...
  • Sánchez, J. Alfredo; Twidale, Michael B.; Nichols, David M.; Silva, Nabani N. (2004)
    This paper presents a qualitative and formative study of the uses of a starfield-based visualization interface for analysis of library collections. The evaluation process has produced feedback that suggests ways to ...
  • Mitchell, R. Scott (University of Waikato, Department of Computer Science, 1995)
    "Knowledge discovery" is one of the most recent and fastest growing fields of research in computer science. It combines techniques from machine learning and database technology to find and extract meaningful knowledge from ...
  • Cunningham, Sally Jo; Vallabh, Mahendra (University of Waikato, Department of Computer Science, 1995)
    A large amount of research literature has recently become available on the Internet through "digital libraries". This migration of information from paper to electronic media promises to have a huge impact on the way that ...
  • Cunningham, Sally Jo; Littin, James; Witten, Ian H. (1997)
    Information retrieval systems provide access to collections of thousands, or millions, of documents, from which, by providing an appropriate description, users can recover any one. Typically, users iteratively refine the ...
  • McQueen, Robert J.; Garner, Stephen R.; Nevill-Manning, Craig G.; Witten, Ian H. (1994)
    Many techniques have been developed for abstracting, or "learning," rules and relationships from diverse data sets, in the hope that machines can help in the often tedious and error-prone process of acquiring knowledge ...
  • Cunningham, Sally Jo; Summers, Brent (University of Waikato, Department of Computer Science, 1995)
    This paper describes an experiment in applying standard supervised machine learning algorithms (C4.5 and Induct) to the problem of developing subject classification rules for documents. These algorithms are found to produce ...
  • Frank, Eibe; Xu, Xin (University of Waikato, Department of Computer Science, 2003)
    Multi-instance learning is commonly tackled using special-purpose algorithms. Development of these algorithms has started because early experiments with standard propositional learners have failed to produce satisfactory ...
  • Michel, Yann-Rudolf; Hinze, Annika (2005)
    Publish/subscribe systems filter published documents and inform their subscribers about documents matching their interests. Recent systems have focussed on documents or messages sent in XML format. Subscribers have to be ...
  • Bittner, Sven; Hinze, Annika (2006)
    Publish/subscribe systems allow for an efficient filtering of incoming information. This filtering is based on the specifications of subscriber interests, which are registered with the system as subscriptions. Publishers ...
  • Cleary, John G.; Pearson, Murray W.; Kinawi, Husam (1994)
    The architecture for an optimistic, highly parallel, scalable, shared memory CPU - the WarpEngine - is described. The WarpEngine CPU allows for parallelism down to the level of single instructions and is tolerant of memory ...