MIR:最大信息速率
“最大信息速率”(Maximum Information Rate,简称MIR)是计算机与通信领域中一个重要的专业术语,用于衡量系统在单位时间内能够传输数据的最高理论极限。这一概念常见于网络带宽、数据传输性能等场景,缩写为MIR既简化了书写,也便于日常技术交流与应用。
Maximum Information Rate具体释义
Maximum Information Rate的英文发音
例句
- Compared with the similar schemes, the proposed scheme not only has maximum information rate, but also has far lower computation and communication cost.
- 与同类方案相比,该方案不仅具有最优的信息率,而且花费很小的计算和通信代价。
- The calculating formula determinating the discriminating coefficient was presented, from the maximum information capacity and discrimination rate.
- 从最大信息量和最大信息分辨率出发,给出了确定分辨系数的计算公式。
- The decision tree is more extensively applied. We analyze the performance under special samples, and we choose the maximum attribute of information gain rate as a critical method to determine the arithmetic performance.
- 采用多种决策树算法,针对常用的决策树算法在特定样本下的性能进行了分析,提出了选择信息增益率最大的属性作为决策属性算法性能的评价方法。
- Based on the Shannon entropy and Jaynes maximum entropy and large deviation entropy, the signification of information theory of large deviation rate function is explained. Thus, the rate function can be obtained easily by the entropy optimization principle.
- 从Shannon熵、Jaynes最大熵和大偏差熵入手,揭示了大偏差率函数的信息论含义,从而率函数的求解可以通过熵优化原理简单得到。
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