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Deakin Research

Research Output for Andrew Skabar

Note: The 2012, 2013, 2014 publications have not been audited.

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Publications

2004 School of Information Technology

Skabar, Andrew (2004) An objective function based on Bayesian likelihoods of necessity and sufficiency for concept learning in the absence of labeled counter-examples, in Arabnia, Hamid and Mun, Youngson (eds), IC-AI & MLMTA 2004 : Proceedings of the International Conference on Artificial Intelligence & Proceedings of the International Conference on Machine Learning : Models, Technologies & Applications, pp. 634-640, CSREA Press, Las Vegas, Nev. [E1]
DRO entry for this publication

Skabar, Andrew (2004) Comparison of MLP and Bayesian approaches on mineral prospectivity mapping tasks, in Arabnia, Hamid and Mun, Youngson (eds), IC-AI & MLMTA 2004 : Proceedings of the International Conference on Artificial Intelligence & Proceedings of the International Conference on Machine Learning : Models, Technologies & Applications, pp. 946-952, CSREA Press, Las Vegas, Nev. [E1]
DRO entry for this publication

Skabar, A. (2004) Optimization of MLP parameters on mineral potential mapping tasks, in Rubinov, Alex (eds), ICOTA 2004 : Proceedings of the 6th International Conference on Optimization : Techniques and Applications, ICOTA, Ballarat, Vic. [E1]
DRO entry for this publication

2003 School of Information Technology

Skabar, Andrew (2003) Predicting the distribution of discrete spatial events using artificial neural networks, in Gedeon, T. and Chun Che Fung, L. (eds), AI 2003 : Advances in Artificial Intelligence : Proceedings of the 16th Australian Conference on AI, pp. 567-577, Springer, Perth, W.A. [E1]
DRO entry for this publication

Skabar, Andrew (2003) Single-class classifier learning using neural networks : an application to the prediction of mineral deposits, in Wang, Xizhao (eds), ICMLC 2003 : Proceedings of the Second International Conference on Machine Learning and Cybernetics, pp. 2127-2132, ICMLC, Xi'an, China [E1]
DRO entry for this publication

Skabar, Andrew (2003) A GA-based neural network weight optimization technique for semi-supervised classifier learning, in Abraham, Ajith; Koppen, Mario and Franke, Katrin (eds), Design and application of hybrid intelligent systems, pp. 139-146, IOS, Washington, D.C. [E1]
DRO entry for this publication

Skabar, Andrew (2003) Mineral potential mapping using feed-forward neural networks, in Wunsch, Donald (eds), Proceeding of the International Joint Conference on Neural Networks 2003, pp. 1814-1819, IEEE, Piscataway, N.J. [E1]
DRO entry for this publication

Skabar, Andrew (2003) Single-class classification augmented with unlabeled data : a symbolic approach, in Gedeon, Tamás D. and Fung, Lance Chun Che (eds), AI 2003 : advances in artificial intelligence : 16th Australian Conference on AI, Perth, Australia, December 3-5, 2003 : proceedings, pp. 735-746, Springer, Berlin, Germany [E1]
DRO entry for this publication

Skabar, Andrew and Cloete, Ian* (2003) Investigation of the effect of training and prediction window sizes on neural financial prediction models, in Wang, Xizhao (eds), 2003 International Conference on Machine Learning and Cybernetics : proceedings, November 2-5, 2003, Sheraton Hotel, Xi'an, China, pp. 2133-2137, IEEE, Piscataway, N.J. [E1]
DRO entry for this publication

Grants and Consultancies

No grants and/or consultancies found or audited – the 2014 HERDC financial return has not been completed or loaded as yet.

Higher Degree by Research Completions supervised by Andrew Skabar

No completions found or audited.

Legend:
* Not a member of Deakin University at time of output.

DRO to publications collection last synchronised: Thursday 17th April 2014 10:04pm

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23rd July 2011