Dr Tony Smith
Senior Lecturer (Computer Science)
Qualifications: MSc Calg PhD Waikato
I received my undergraduate and graduate degrees in Computer Science from the University of Calgary, and earned my PhD at the University of Waikato.
A general theme of my research is adaptive systems. My background is in artificial intelligence and machine learning, with particular focus on language processing problems. More recently I have been spending quite a bit of time working on bioinformatics projects, and on applications of reinforcement learning within autonomous agents.
I am a member of the editorial board for the International Journal on Intelligent Data Analysis, and a charter member of (among other things) the Australasian Language Technology Association.
Smith, T. C., & Frank, E. (2016). Introducing machine learning concepts with WEKA. In E. Mathé, & S. Davis (Eds.), Statistical Genomics: Methods and Protocols (Vol. 1418, pp. 353-378). Springer. doi:10.1007/978-1-4939-3578-9_17
Gilman, A. C., Hogg, I. D., Collier, K. J., Smith, T. C., Dowle, E. J., & Banks, J. C. (2014). Developing a molecular macroinvertebrate community index (MMCI) using Next Generation DNA Sequencing. Poster session presented at the meeting of Joint Water Symposium of the New Zealand Hydrological Society, New Zealand Freshwater Sciences Society and the IPENZ Rivers Group. Blenheim, NZ.
Sarjant, S., Pfahringer, B., Driessens, K., & Smith, T. (2014). A Direct Policy-Search Algorithm for Relational Reinforcement Learning. In G. Zaverucha, V. Santos Costa, & A. Paes (Eds.), Inductive Logic Programming (pp. 76-92). Springer Berlin Heidelberg. doi:10.1007/978-3-662-44923-3_6
McKenzie, J. L., Duyvestyn, J. M., Smith, T., Bendak, K., MacKay, J., Cursons, R., . . . Arcus, V. L. (2012). Determination of ribonuclease sequence-specificity using Pentaprobes and mass spectrometry. RNA Journal, 18(6), 1267-1278. doi:10.1261/rna.031229.111 Open Access version: hdl:10289/7207
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