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Ensemble learning has emerged as a powerful method for combining multiple models. Well-known methods, such as bagging, boosting, and model averaging, have been shown to improve accuracy and robustness over single models. However, due to the high costs of manual labeling, it is hard to obtain sufficient and reliable labeled data for effective training. Meanwhile, lots of unlabeled data exist in these...
Privacy disclosure is a common problem in data publishing, formerly, K-anonymity methods of Privacy Protection have great influence on the data precision. This paper analyzes the reasons of the influence, and proposes an improved algorithm. The algorithm defines a Weight-related of attribute in order to select attributes for generalization. This approach effectively prevents sensitive data loss in...
Before shipping the product to customer, maintenance is a back-end department of integrated circuit (IC) production, and yield rate measures whether the product batch is accepted or not. A correlation analysis showed a positive relationship between yield rate and visual fatigue, so reducing visual fatigue can improve operators' comfort as well as the yield rate. In this study, Group Method and Data...
Highly reliable SAR simulation data is of great necessity in SAR system design, image formation algorithm and compensation algorithm. An feasible approach for distributed spaceborne SAR data simulation is proposed in this paper. The validity of this scheme is verified by computer simulation.
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