factor representation

A Study of Reinforcement Learning Based on Factor Representation

基于因素化表示的强化学习方法研究

According to theory on space factor , representation feature of component was defined and a new representation model of component was presented .

根据空间因素理论、零件表达的特征和计量的要求，定义了零件的表达空间，提出了一种新的零件表达模型。

An improved decoding algorithm for low-density parity-check code ( LDPC ) on finite-state Markov channels was presented and the corresponding factor graph representation was given .

针对有限状态Markov信道，提出一种改进的低密度奇偶校验码（low-DensityParity-check，LDPC）译码算法，并给出其因子图表示。

Based on the factor graph representation of maximum a posteriori probabilities decoding of the user 's information bits and the sum product algorithm , an iterative multiuser decoding based on parallel partial interference cancellation detection for coded CDMA system was proposed .

基于用户信息比特最大后验概率解码的因子图表示及和-积算法，通过干扰估计值的渐进性能分析，提出了一种基于并行部分干扰对消检测的迭代多用户解码器。

Factor Space and Representation of the Intension of Concept

因素空间与概念内涵的表示

Note on the electromagnetic form factor and integral representation of the wave function in the STRATON MODEL

关于层子模型中的电磁形式因子与结构波函数的积分表示