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Minimal test cost attribute reduction is an important issue in cost-sensitive learning. Recently, an information gain based heuristic algorithm has been designed to this problem. However, the algorithm does not often find the optimal solution. In this paper, we develop an ant colony optimization algorithm to deal with this problem. First, the attribute set(More)
Decision tree is an effective classification approach in data mining and machine learning. In some applications, test costs and misclassification costs should be considered while inducing decision trees. Recently, some cost-sensitive learning algorithms based on ID3, such as CS-ID3, IDX, ICET and λ-ID3, have been proposed to deal with the issue. In this(More)
Decision tree is an effective classification approach in data mining and machine learning. In applications, test costs and misclassification costs should be considered while inducing decision trees. Recently, some cost-sensitive learning algorithms based on ID3 such as CS-ID3, IDX, λ-ID3 have been proposed to deal with the issue. These algorithms deal with(More)
Image enhancement is an important pre-processing step for various image processing applications. In this paper, we proposed a physiologically-based adaptive three-Gaussian model for image enhancement. Comparing to the standard three-Gaussian model inspired by the spatial structure of the receptive field (RF) of the retinal ganglion cells, the proposed model(More)
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