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Improving the Behavior of the Nearest Neighbor Classifier against Noisy Data with Feature Weighting Schemes

机译：利用特征加权方案改善最近邻分类器对噪声数据的行为

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Jose ́ A. Sáez; Francisco Herrera;
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年度 2015
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1. Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers [J] . José A. Sáez, Joaquin Derrac, Julian Luengo, Pattern Recognition: The Journal of the Pattern Recognition Society . 2014,第12期

机译：通过数据估计对最近邻分类器进行特征加权方案的统计计算
2. Improving Performance of the k-Nearest Neighbor Classifier by Combining Feature Selection with Feature Weighting [J] . Yongguang Bao, Xiaoyong Du, Naohiro Ishii 人工知能学会論文誌 . 2002,第3期

机译：通过将特征选择与特征权重相结合来提高k最近邻分类器的性能
3. Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms [J] . Derrac J., Triguero I., Garcia S., Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on . 2012,第5期

机译：通过协进化算法集成最近邻分类器的实例选择，实例加权和特征加权
4. Improving the Behavior of the Nearest Neighbor Classifier against Noisy Data with Feature Weighting Schemes [C] . Jose A. Saez, Joaquin Derrac, Julian Luongo, International conference on hybrid artificial intelligent systems . 2014

机译：使用特征权重方案改进针对噪声数据的最近邻分类器的行为
5. Randomized and Evolutionary Approaches to Dataset Characterization, Feature Weighting, and Sampling in K-Nearest Neighbors [D] . Basak, Suryoday. 2020

机译：基于数据集特征的随机和进化方法，具有在k离邻居中的采样和抽样
6. Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection [O] . Marina Paolanti, Luca Romeo, Daniele Liciotti, 2018

机译：通过多个最近邻分类器和邻域组件特征选择在俯视配置下使用RGB-D摄像机对人员进行重新识别
7. Improving Performance of the k-Nearest Neighbor Classifier by Combining Feature Selection with Feature Weighting. [O] . Yongguang Bao, Xiaoyong Du, Naohiro Ishii 2002

机译：通过将功能选择与特征加权相结合来提高k最近邻分类的性能。
8. Nearest Neighbor - a New Non-Parametric Test Used for Classifying Spectral Data [R] . Chapman, W. E., Nadeau, J. J., Switzer, P. 1968

机译：最近邻 - 一种用于光谱数据分类的非参数检验

Improving the Behavior of the Nearest Neighbor Classifier against Noisy Data with Feature Weighting Schemes

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