1) multiple kernel learning
多重核学习
1.
Fighter fault diagnosis based on multiple kernel learning SVMs;
基于多重核学习支持向量机的歼击机故障诊断
2.
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。
2) multiple kernel learning
多核学习
1.
Support vector machine based on multiple kernel learning is proposed due to the learning problems involve multiple and heterogeneous data sources,however,the increase of kernels will increase the computation of multiple kernel learning inevitably.
针对实际应用中经常出现的异类数据源,采用多核学习的支持向量机受到关注。
3) multipleassociation learning
多重联结学习
4) multipleresponse learning
多重反应学习
5) Kernel learning
核学习
1.
Adaptive one-step-ahead predictive control law with analytical form using kernel learning;
解析的核学习自适应单步预测控制算法
2.
A novel kernel learning one-step-ahead predictive control (KLOPC) algorithm is presented for the general unknown single-input/single-output nonlinear systems.
针对非线性SISO系统,提出一种基于核学习辨识模型的单步预测控制算法(kernel learning one-step-ahead predictive control,KLOPC)。
6) kernel-based learning machine
核学习机
补充资料：多重反应学习
多重反应学习
multiple-response learning
多重反应学习(multiple一response learning)对学习情境中存在的多种不同刺檄做出不同反应的学习过程。是一种行为模式或行为系列的习得。如区分类似概念、记住同班同学的名字、对物体分类等都属于此类学习， (刘志华撰成立夫审)
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条