Browsing by Author "Witten, Ian H."

Now showing items 1-5 of 190

  • Adaptive text mining: Inferring structure from sequences

    Witten, Ian H. (Elsevier B.V., 2004)
    Text mining is about inferring structure from sequences representing natural language text, and may be defined as the process of analyzing text to extract information that is useful for particular purposes. Although ...
  • 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 programming by demonstration

    Paynter, Gordon W.; Witten, Ian H.; Koblitz, Neil; Powell, Matthew (Taylor & Francis, 2004)
    ‘Familiar’ is a tool that helps end-users automate iterative tasks in their applications by showing examples of what they want to do. It observes the user’s actions, predicts what they will do next, and then offers to ...
  • Arithmetic coding revisited

    Moffat, Alistair; Neal, Radford M.; Witten, Ian H. (ASSOC COMPUTING MACHINERY, 1998-07-01)
    Over the last decade, arithmetic coding has emerged as an important compression tool. It is now the method of choice for adaptive coding on multisymbol alphabets because of its speed, low storage requirements, and ...

Showing up to 5 theses - most recently added to Research Commons first.

  • Compression and cryptology

    Irvine, Sean A. (The University of Waikato, 1997)
    Currently data compression and encryption are carried out as two separate activities. A simpler communication system would result if these two activities could be combined. The security properties of lossless data compression ...
  • Lossless document image compression

    Inglis, Stuart J. (The University of Waikato, 1999)
    Document image compression reduces the storage requirements for digitised books or documents by using characters as the fundamental unit of compression. Compression gains can be achieved by identifying regions that contain ...
  • A new approach to fitting linear models in high dimensional spaces

    Wang, Yong (The University of Waikato, 2000)
    This thesis presents a new approach to fitting linear models, called “pace regression”, which also overcomes the dimensionality determination problem. Its optimality in minimizing the expected prediction loss is theoretically ...
  • N-gram models of agreement in language

    Smith, Anthony Clive (The University of Waikato, 2000)
    Conventional n-gram language models are well-established as powerful yet simple mechanisms for characterising language structure when low data complexity is the primary objective. Much of their predictive power can be ...
  • Pruning decision trees and lists

    Frank, Eibe (The University of Waikato, 2000)
    Machine learning algorithms are techniques that automatically build models describing the structure at the heart of a set of data. Ideally, such models can be used to predict properties of future data points and people can ...

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