Yung-Tai Byun

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We have developed a robust qualitative method for robot exploration, mapping, and navigation in large-scale spatial environments. An environment is large-scale if its spatial structure is at a signi cantly larger scale than the sensory horizon of the observer. Experiments with a simulated robot in a variety of 2-D environments have demonstrated that our(More)
Raw Data used in data mining often contain missing information, which inevitably degrades the quality of the derived knowledge. In this paper, a new method of guessing missing attribute values is suggested. This method selects attributes one by one using attribute group mutual information calculated by flattening the already selected attributes. As each new(More)
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