核机器学习方法 Kernel Machine Learning Method
And the kernel machine learning can make many methods in pattern recognition have the ability to process nonlinear data by means of kernel mapping. This has very important significance in terms of hyperspectral imagery processing.
而核机器学习能够通过核映射的形式使得众多的模式识别方法具有非线性数据处理能力,这对处理高光谱图像这类复杂数据具有非常重要的意义。
参考来源 - 基于核方法的高光谱图像小目标检测算法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
基于此，利用核机器学习方法和医生的先验知识，指导计算机辅助诊断未知影像数据，可大大提高医生准确诊断的效率。
Based on this, the diagnosis accurate can greatly improve by machine learning methods using a prior knowledge to guide computer-aided diagnosis of the unknown image data.
由于在真核基因剪接位点的识别中引入了机器学习方法，剪接位点的识别率有了大幅度的提高。
Because of introducing the machine learning method in the recognition of splice sites of the eukaryotic DNA, the recognition rate of splice sites is largely heightened.
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