TSE:平方误差
“平方误差”(The Squared Error)在统计学和机器学习领域应用广泛,通常缩写为 TSE 以方便书写和使用。这一术语常用于表示实际值与预测值之间的偏差平方,属于一个通用概念,出现在各类未明确分类的综合场景中。
The Squared Error具体释义
The Squared Error的英文发音
例句
- During the optimization process, the index with the integral of the squared error ( ISE ) was adopted.
- 在优化过程中采用了偏差平方积分(ISE)的优化指标。
- Minimum squared error algorithm is one of the classical pattern recognition and regression analysis methods, whose objective is to minimize the squared error summation between the output of linear function and the desired output.
- 最小平方误差(TSE)算法是最常用的一种经典模式识别和回归分析方法,其目标是使线性函数输出与期望输出的误差平方和为最小。
- The model is based on the squared error and minimum as the objective function, the model can calculate the proportion of the three forecasting methods in combination forecasting model.
- 该模型是以误差平方和最小作为目标函数,通过该模型可以计算出三种预测方法在组合预测模型中所占的比重。
- The optimization function is defined to be the sum of the squared error between the previous trace and the current pattern representation.
- 我们定义优化目标函数为前时刻轨迹和当前时刻特征提取结果的均方误差和,推导了相应的轨迹学习算法。
- The biggest advantage of the K-Means clustering algorithm is that simple operation and the squared error criterion function and higher scalability and efficiency in the handling of large data sets.
- 该聚类算法的一个最大的优点就是操作简单、采用误差平方和的准则函数、对大数据集的处理上有较高的可伸缩性和高效性。
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