Peter J. Tan

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We propose a multivariate decision tree inference scheme by using the minimum message length (MML) principle (Wallace and Boul-ton, 1968; Wallace and Dowe, 1999). The scheme uses MML coding as an objective (goodness-of-fit) function on model selection and searches with a simple evolution strategy. We test our multivariate tree inference scheme on UCI(More)
Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microar-ray data sets is that the number of input variables (genes) is far greater than the number of samples. As such, most classification schemes employ variable selection or feature selection methods to pre-process DNA mi-croarray data.(More)
Effectiveness of maintenance programs of existing concrete bridges is highly dependent on the accuracy of the deterioration parameters utilised in the asset management models of the bridge assets. In this paper, bridge deterioration is modelled using non-homogenous Poisson processes, since deterioration of reinforced concrete bridges involves multiple(More)
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