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Machine translation systems have various problems although they have been developed continuously. Especially, in Korean-English translation system, zero pronoun problem is an important problem, since omitted subject or object Korean are must be restored in English. In order to solve this problem, various methods have been proposed. In this paper, we focus on the gender determination problem in Korean...
Port state control (PSC) inspection is the most important mechanism to ensure world marine safe. Recently, some SVM-based risk assessment systems have been presented in the world. They estimate the risk of each candidate ship based on its generic factors and history inspection factors to select high-risk one before conducting on-board PSC inspection. However, how to improve the performance of the...
Classification can often benefit from efficient feature selection. However, the presence of linearly nonseparable data, quick response requirement, small sample problem and noisy features makes the feature selection quite challenging. In this work, a class separability criterion is developed in a high-dimensional kernel space, and feature selection is performed by the maximization of this criterion...
Much research work in datamining has gone into improving the predictive accuracy of statistical classifiers by applying the techniques of discretization and feature selection. As a probability-based statistical classification method, the Naive Bayesian classifier has gained wide popularity despite its assumption that attributes are conditionally mutually independent given the class label. In this...
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