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In the paper, we extend the well-known golden-section search (GSS) method to make an unprecedented attempt to do discrete sequence searches. The GSS method is originally used to find the extremum of a strictly unimodal continuous function. We apply it on searching the best threshold for discretizing continuous attribute data in decision tree problems. Compared to typical methods, the shortcomings...
Functional fault diagnosis at board-level is desirable for high-volume production since it improves product yield. However, to ensure diagnosis accuracy and effective board repair, a large number of syndromes must be used. Therefore, the diagnosis cost can be prohibitively high due to the increase in diagnosis time and the complexity of syndrome collection/analysis. We propose an adaptive diagnosis...
Decision tree is one of the most popular and widely used classification models in machine learning. The discretization of continuous-valued attributes plays an important role in decision tree generation. In this paper, we improve Fayyad's discretization method which uses the average class entropy of candidate partitions to select boundaries for discretization. Our method can reduce the number of candidate...
In this paper a decision tree method has been proposed for optimal PMU placement for voltage security assessment. In the proposed method the voltage security index for every operating point is calculated off-line. As a result, the system security status is determined for every operating point. Then the decision tree is trained using the database obtained from the previous stage. Simulation results...
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