Browsing by Supervisor "Holmes, Geoffrey"

Now showing items 1-11 of 11

  • 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 ...
  • Speech analysis and synthesis using an auditory model

    Carnegie, Dale A. (The University of Waikato, 2000)
    Many traditional speech analysis/synthesis techniques are designed to produce speech with a spectrum that is as close as possible to the original. This may not be necessary because the auditory nerve is the only link from ...
  • High-throughput machine learning algorithms

    Mitchell, Rory (The University of Waikato, 2021)
    The field of machine learning has become strongly compute driven, such that emerging research and applications require larger amounts of specialised hardware or smarter algorithms to advance beyond the state-of-the-art. ...
  • Tree-structured multiclass probability estimators

    Leathart, Timothy Matthew (The University of Waikato, 2019)
    Nested dichotomies are used as a method of transforming a multiclass classification problem into a series of binary problems. A binary tree structure is constructed over the label space that recursively splits the set of ...
  • Reconstructing Data Provenance from Log Files

    Tan, Yu Shyang (The University of Waikato, 2017)
    Data provenance describes the derivation history of data, capturing details such as the entities involved and the relationships between entities. Knowledge of data provenance can be used to address issues, such as data ...
  • Distributed Operating Systems on Wireless Sensor Networks

    Hunkin, Paul Wade (University of Waikato, 2017)
    This thesis proposes the use of traditional distributed operating system and distributed systems techniques that are adapted and applied to the wireless sensor network domain. These techniques are applied to the creation ...
  • Scalable Text Mining with Sparse Generative Models

    Puurula, Antti (University of Waikato, 2015)
    The information age has brought a deluge of data. Much of this is in text form, insurmountable in scope for humans and incomprehensible in structure for computers. Text mining is an expanding field of research that seeks ...
  • Parameter Tuning Using Gaussian Processes

    Ma, Jinjin (University of Waikato, 2012)
    Most machine learning algorithms require us to set up their parameter values before applying these algorithms to solve problems. Appropriate parameter settings will bring good performance while inappropriate parameter ...
  • Sequence-based protein classification: binary Profile Hidden Markov Models and propositionalisation

    Mutter, Stefan (University of Waikato, 2011)
    Detecting similarity in biological sequences is a key element to understanding the mechanisms of life. Researchers infer potential structural, functional or evolutionary relationships from similarity. However, the concept ...
  • Scalable Multi-label Classification

    Read, Jesse (University of Waikato, 2010)
    Multi-label classification is relevant to many domains, such as text, image and other media, and bioinformatics. Researchers have already noticed that in multi-label data, correlations exist between labels, and a variety ...