Research Commons

Browsing by Author "Smith, Tony C."

Research Commons

Browsing by Author "Smith, Tony C."

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  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Peeters, Ross; Smith, Tony C. (1997)
    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 ...
  • Holmes, Geoffrey; Smith, Tony C.; Rogers, Bill (1997)
    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 ...
  • 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 ...
  • Smith, Tony C.; Holmes, Geoffrey (University of Waikato, Department of Computer Science, 1995)
    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 ...

Co-authors for Tony C. Smith

Supervised by Tony C. Smith

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