条件信息 meaning in English
conditional information
Examples
- Classification algorithm for self - learning naive bayes based on conditional information entropy
基于条件信息熵的自主式朴素贝叶斯分类算法 - Based on the current state of information service , this text analyses the forming condition and constructing facts of the information service network - the basic condition of developing information service
摘要本文基于当前的信息服务发展状况，分析作为信息服务业务开展的基础条件信息服务网络的形成条件与构成因素。 - If your overview tasks tend to provide information on prerequisites , rather than general context information , it is pretty straightforward to place all of this into a prereq section rather than a context
如果概括性任务主要是提供前提条件信息，而不是提供一般的上下文，那么可以直接将全部内容放到prereq节而不是放在context中。 - Adaptive modulation can also control quality of service according to transmitted information type and greatly increase capacity of system . the data frames in adaptive modulation communication system must be redesigned . because the sender must tell the receiver the current modulation mode by some bits in the data frame and the receiver must gain the current channel condition from the data frame in order to control its modulation mode and symbol rate
因为发送方须通过数据帧中的某些比特来通知接收方当前的调制方式和符号速率；同样，接收方也须从数据帧中某个域的比特流来获得当前的信道条件信息，从而去控制其调制方式及符号速率。 - 2 ) by analyzing the information and conditional information description mechanism of system states , the problem of stochastic model reduction is investigated based on state aggregation . the information loss and conditional information loss between the full - and reduced - order models are measured by entropy , while the independence and conditional independence within me components of aggregated state are measured by kullback - leibler information distance . several model reduction methods for stable and unstable linear systems are derived by employing two criteria to get aggregation matrices : the minimal information loss and the maximal independence
2 )分析了随机系统状态空间模型中的信息和条件信息描述机制，以shannon熵为手段描述线性系统模型降阶过程中的信息和条件信息损失，以kullback - leibler信息作为衡量降阶模型状态向量各分量之间统计独立性的测度，针对稳定和不稳定系统研究基于状态集聚的模型降阶问题：分别运用最小信息损失准则和最大独立性原则，得出几种状态集聚的信息论方法，并讨论降阶模型的性质、阶次的确定、系统噪声分布特性等问题。