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When deep learning models are deployed in the real world, perhaps to detect financial fraud from credit card activity or identify cancer in medical images, they are often able to outperform humans.
Modern machine-learning models, such as neural networks, are often referred to as “black boxes” because they are so complex that even the researchers who design them can’t fully understand how they ma...
Machine-learning algorithms are often referred to as a “black box.” Once data are put into an algorithm, it’s not always known exactly how the algorithm arrives at its prediction. This can be particul...
Reducibility between different cryptographic primitives is a fundamental problem in modern cryptography. As one of the primitives, traitor tracing systems help content distributors recover the ident...
贝叶斯分类器、最小距离分类器、近邻分类器和BP网络等是比较常用的分类器,为提高这些分类器的性能,引入了Box-Cox变换的思想。将Box-Cox变换用于数据正态化处理技术,并对常用分类器的性能进行改进。实验结果显示,通过引入Box-Cox变换,分类器的分类正确率有较大的提高。

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