一个比较古老的统计学的概念,随着核学习(kernel learning)的兴起,将核学习和高斯过程结合起来,就形成了一个崭新的学习方法--高斯过程.2000年左右提出.
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sparse kernel learning 稀疏核学习
Kernel-based Learning Machine 核学习机
Kernel Machine Learning Method 核机器学习方法
kernel matrix learning 核矩阵学习
kernel machine learning 核机器学习
kernel-based learning 基于核的学习
But as an immature technology, it still has to cope with many problems in the structure, function, classification and so on. Generally speaking, the research in complex pattern recognition based on Kernel learning method is of great significance.
核方法的研究和应用目前正方兴未艾,新的算法不断地被提出,但是作为一种尚未成熟的技术,仍然存在着许多不完善和有待解决的问题,如核函数的构造和选择、多类分类等问题,因此研究基于核方法的复杂模式识别理论具有重要的意义。
参考来源 - 模式识别的核方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
To effectively identify driving mental fatigue states, a new method based on kernel learning algorithm is presented.
为了有效地评测人的驾驶精神疲劳状态，本文提出了一种基于核学习算法的精神疲劳分级方法。
Based on decision tree combined strategy and multiple kernel learning support vector machines, a new fault diagnosis method is proposed to improve the precision and speed of fighter fault diagnosis.
为了提高歼击机故障诊断的准确性与实时性，提出一种基于决策树型组合策略的多重核学习支持向量机诊断方法。
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