Now showing items 1-20 of 275

  • Accuracy bounds for ensembles under 0 - 1 loss.

    Bouckaert, Remco R. (Dept. of Computer Science, 2002-06-01)
    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 ...
  • Adaptive models of English text

    Teahan, W.J.; Cleary, John G. (Department of Computer Science, The University of Waikato, 1997-11)
    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 ...
  • An algorithm for the synthesis of least restrictive controllable supervisors for extended finite-state machines

    Malik, Robi; Teixeira, Marcelo (Department of Computer Science, The University of Waikato, 2016)
    This working paper proposes an algorithm for the synthesis of modular supervisors using extended finite-state machines, i.e., state machines with variables and guards on the transitions. Synthesis is performed by iteratively ...
  • Analysis of cow culling with a machine learning workbench

    DeWar, Rhys; McQueen, Robert J. (University of Waikato, Department of Computer Science, 1995-01)
    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 ...
  • An analysis of usage of a digital library

    Jones, Steve; Cunningham, Sally Jo; McNab, Rodger J. (University of Waikato, Department of Computer Science, 1998-06)
    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 ...
  • The application of machine learning techniques to time-series data

    Mitchell, R. Scott (University of Waikato, Department of Computer Science, 1995-05)
    "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 ...
  • Applications for bibliometric research in the emerging digital library

    Cunningham, Sally Jo; Vallabh, Mahendra (University of Waikato, Department of Computer Science, 1995-05)
    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 ...
  • Applications of machine learning in information retrieval

    Cunningham, Sally Jo; Littin, James; Witten, Ian H. (Department of Computer Science, University of Waik, 1997-02)
    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 ...
  • Applying machine learning to agricultural data

    McQueen, Robert J.; Garner, Stephen R.; Nevill-Manning, Craig G.; Witten, Ian H. (1994-07)
    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 ...
  • Applying machine learning to subject classification and subject description for information retrieval

    Cunningham, Sally Jo; Summers, Brent (University of Waikato, Department of Computer Science, 1995-06)
    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 ...
  • Applying propositional learning algorithms to multi-instance data

    Frank, Eibe; Xu, Xin (University of Waikato, Department of Computer Science, 2003-06)
    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 ...
  • The architecture of an optimistic CPU: the WarpEngine

    Cleary, John G.; Pearson, Murray W.; Kinawi, Husam (1994-07)
    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 ...
  • The architecture of an optimistic CPU: the WarpEngine

    Cleary, John G.; Pearson, Murray W.; Kinawi, Husam (1994-09)
    The architecture for a shared memory CPU is described. The CPU allows for parallelism down to the level of single instructions and is tolerant of memory latency. All executable instructions and memory accesses are time ...
  • Atomic components

    Reeves, Steve; Streader, David (University of Waikato, Department of Computer Science, 2004-02)
    There has been much interest in components that combine the best of state-based and event-based approaches. The interface of a component can be thought of as its specification and substituting components with the same ...
  • Authorship patterns in information systems

    Cunningham, Sally Jo; Dillon, Stuart M. (1996-10)
    This paper examines the patterns of multiple authorship in five information systems journals. Specifically, we determine the distribution of the number of authors per paper in this field, the proportion of male and female ...
  • Automating iterative tasks with programming by demonstration: a user evaluation

    Paynter, Gordon W.; Witten, Ian H. (1999-05)
    Computer users often face iterative tasks that cannot be automated using the tools and aggregation techniques provided by their application program: they end up performing the iteration by hand, repeating user interface ...
  • Benchmarking attribute selection techniques for data mining

    Hall, Mark A.; Holmes, Geoffrey (University of Waikato, Department of Computer Science, 2000-07)
    Data engineering is generally considered to be a central issue in the development of data mining applications. The success of many learning schemes, in their attempts to construct models of data, hinges on the reliable ...
  • Benchmarking attribute selection techniques for discrete class data mining

    Hall, Mark A.; Holmes, Geoffrey (University of Waikato, Department of Computer Science, 2002-04)
    Data engineering is generally considered to be a central issue in the development of data mining applications. The success of many learning schemes, in their attempts to construct models of data, hinges on the reliable ...
  • Bi-level document image compression using layout information

    Inglis, Stuart J.; Witten, Ian H. (1996-01)
    Most bi-level images stored on computers today comprise scanned text, and their number is escalating because of the drive to archive large volumes of paper-based material electronically. These documents are stored using ...
  • Bibliomania: what can we learn from the research literature?

    Cunningham, Sally Jo; Empson, Nic; Kamau, Rawinia (University of Waikato, Department of Computer Science, 1995-04)
    The field of bibliometrics provides a set of quantitative methods for understanding how scientific information is created and disseminated by examining the structure, rather than the content, of subject documents. Bibliographic ...