Now showing items 1-14 of 14

  • Determination of ribonuclease sequence-specificity using Pentaprobes and mass spectrometry

    McKenzie, Joanna Leigh; Duyvestyn, Johanna Maria; Smith, Tony C.; Bendak, Katerina; Mackay, Joel P.; Cursons, Raymond T.; Cook, Gregory M.; Arcus, Vickery L. (RNA Society, 2012)
    The VapBC toxin-antitoxin (TA) family is the largest of nine identified TA families. The toxin, VapC, is a metal-dependent ribonuclease that is inhibited by its cognate antitoxin, VapB. Although the VapBCs are the largest ...
  • Investigating the usability of social networking sites for teenagers with autism

    Bahiss, Khadija; Cunningham, Sally Jo; Smith, Tony C. (ACM, 2011)
    Teenagers with Autism Spectrum Disorder (ASD) tend to be socially isolated due to the interpersonal challenges of autism, yet they enjoy using computers. This study investigated the hypothesis that social networking sites ...
  • Using the online cross-entropy method to learn relational policies for playing different games

    Sarjant, Samuel; Pfahringer, Bernhard; Driessens, Kurt; Smith, Tony C. (IEEE, 2011)
    By defining a video-game environment as a collection of objects, relations, actions and rewards, the relational reinforcement learning algorithm presented in this paper generates and optimises a set of concise, human-readable ...
  • Unbounded knowledge acquisition based upon mutual information in dependent questions

    Smith, Tony C.; van de Molen, Chris (Springer, 2011)
    This paper describes an experimental system for knowledge acquisition based on a general framework exemplified in the game of twenty questions. A sequence of propositional questions is put to the user in an attempt to ...
  • Multi-argument classification for semantic role labeling

    Lin, Chi-San Althon; Smith, Tony C. (2008)
    This paper describes a Multi-Argument Classification (MAC) approach to Semantic Role Labeling. The goal is to exploit dependencies between semantic roles by simultaneously classifying all arguments as a pattern. Argument ...
  • Automatically linking MEDLINE abstracts to the Gene Ontology

    Smith, Tony C.; Cleary, John G. (2003)
    Much has been written recently about the need for effective tools and methods for mining the wealth of information present in biomedical literature (Mack and Hehenberger, 2002; Blagosklonny and Pardee, 2001; Rindflesch et ...
  • Better text compression from fewer lexical n-grams

    Smith, Tony C.; Lorenz, Michelle (IEEE Computer Society, 2001)
    Word-based context models for text compression have the capacity to outperform more simple character-based models, but are generally unattractive because of inherent problems with exponential model growth and corresponding ...
  • Fast convergence with a greedy tag-phrase dictionary

    Peeters, Ross; Smith, Tony C. (1997-11)
    The best general-purpose compression schemes make their gains by estimating a probability distribution over all possible next symbols given the context established by some number of previous symbols. Such context models ...
  • Computer concepts without computers: a first course in computer science

    Holmes, Geoffrey; Smith, Tony C.; Rogers, Bill (1997-02)
    While some institutions seek to make CS1 curricula more enjoyable by incorporating specialised educational software [1] or by setting more enjoyable programming assignments [2], we have joined the growing number of Computer ...
  • Learning language using genetic algorithms

    Smith, Tony C.; Witten, Ian H. (Springer, 1996)
    Strict pattern-based methods of grammar induction are often frustrated by the apparently inexhaustible variety of novel word combinations in large corpora. Statistical methods offer a possible solution by allowing frequent ...
  • Subset selection using rough numeric dependency

    Smith, Tony C.; Holmes, Geoffrey (University of Waikato, Department of Computer Science, 1995-04)
    In this paper we describe a novel method for performing feature subset selection for supervised learning tasks based on a refined notion of feature relevance. We define relevance as others see it and outline our refinement ...
  • Language inference from function words

    Smith, Tony C.; Witten, Ian H. (Department of Computer Science, University of Waikato, 1993)
    Language surface structures demonstrate regularities that make it possible to learn a capacity for producing an infinite number of well-formed expressions. This paper outlines a system that uncovers and characterizes ...
  • Models for computer generated parody

    Smith, Tony C.; Witten, Ian H. (Department of Computer Science, University of Waikato, 1993)
    This paper outlines two approaches to the construction of computer systems that generate prose in the style of a given author. The first involves using intuitive notions of stylistic trademarks to construct a grammar that ...
  • Semantic and generative models for lossy text compression

    Witten, Ian H.; Bell, Timothy C.; Moffat, Alistair; Smith, Tony C.; Nevill-Manning, Craig G. (Department of Computer Science, University of Waikato, 1992)
    The apparent divergence between the research paradigms of text and image compression has led us to consider the potential for applying methods developed for one domain to the other. This paper examines the idea of "lossy" ...

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

  • Characterisation of VapC in Mycobacterium smegmatis

    Willcock, Duncan Mark Koorey (University of Waikato, 2016)
    Members of the VapC family of proteins cleave RNA at specific sites in order to regulate biological processes with a cell. Characterization of the sites targeted by a specific protein using conventional biochemical techniques ...
  • Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method

    Sarjant, Samuel (University of Waikato, 2013)
    Relational Reinforcement Learning (RRL) is a subfield of machine learning in which a learning agent seeks to maximise a numerical reward within an environment, represented as collections of objects and relations, by ...