1) Belief assignment
可信度分配
2) basic possibility assignment
基本可信度分配
3) credibility distribution matrix
可信度分配矩阵
4) credit assignment
信度分配
1.
A Study of Multi-Agent Reinforcement Learning Based on Credit Assignment;
基于信度分配的多智能体强化学习研究
2.
In order to solve the conflict between accuracy and memory capability of Albus CMAC,the ideas of neural network ensemble and credit assignment were introduced,and series ensemble CMAC based on credit assignment was proposed.
针对Albus CMAC在学习精度与存贮容量之间的矛盾,借鉴神经网络集成思想,并引入可信度的概念,提出了基于信度分配的串行集成CMAC,以提高学习系统的泛化能力和网络收敛速度。
3.
In order to improve the speed and accuracy of the on-line learning neural network, a credit assignment concept based on kernel CMAC was proposed, where the credit was supposed to be the activated hypercubes previous learning times in the kernel space.
为了提高CMAC(cerebellarmodelarticulationcontrollers)神经网络实时在线学习的快速性和准确性,在核CMAC的基础上引入了信度分配的概念。
5) Matching confidence
匹配可信度
6) reliability distribution
可靠度分配
补充资料：可信度
可信度：指一项测试对其所测度的东西具有前后一致性。
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