许多实践者使用缺省损失函数(如，均方误差)训练和挑选最好的模型。
Many practitioners train and pick the best model using the default loss function (e. g., squared error).
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 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 optimization function is defined to be the sum of the squared error between the previous trace and the current pattern representation.
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