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Aiming at the problem of the traditional feature selection that threshold filtering loses a lot of effective architectural information and to improve the precise of Chinese architectural document classification, a new algorithm based on rough set and C4.5Bagging is proposed for Chinese architectural document categorization. Firstly the cores of attribute are found by discernibility matrix and one...
There are many labeled data sets which have an unbalanced representation among the classes in them. When the imbalance is large, classification accuracy on the smaller class tends to be lower. In particular, when a class is of great interest but occurs relatively rarely such as cases of fraud, instances of disease, and so on, it is important to accurately identify it. Here we propose a novel algorithm...
When dealing with high-dimensional datasets with fewer samples, feature selection and ensemble learning are two effective strategies. In this paper, we focus our attention on genetic algorithm based feature selection for ensemble learning. We use an improved GA algorithm (IGA) to reduce the dimensionality of the feature space, and then evaluate using bagging and Ada-Boost constructed by the reduced...
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