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At present, most of image retrieval applications use Principal Component Analysis (PCA) algorithm to reduce the low-level features of images and rank the similarity of images based on graph structure to enhance the retrieval accuracy with relevance feedback technique. However, there are two issues to consider in traditional image retrieval methods: (1) the feature space of images is probably highly...
Combining multiple classifiers combination, sampling techniques, and more appropriate evaluation metrics, we first compare the selection of multiple classifiers combination based on GMDH(S-GMDH) and other classification methods on nine class imbalance data sets; we analyze the change of classification performances with and without using sampling. Then we further do customer churn prediction on `churn'...
In this paper, we have established one credit risk evaluation model based on learning vector quantization respectively. This model is used to identify two patterns samples of Chinese listed companies, including training samples of 285 listed companies (59 companies with special treatment and 226 normal companies) and test samples of 117 listed companies(29 companies with special treatment and 88 normal...
In this paper, we have established and compared two credit risk evaluation models based on self-organizing feature map neural network and learning vector quantization respectively. The models are used to identify two patterns samples of Chinese listed companies, including training samples of 285 listed companies (59 companies with special treatment and 226 normal companies) and test samples of 117...
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