Based on statistical learning theory, a predictable mathematical model can be established by utilizing the known features and attributes of the data. Through training the weights and biases of the network using the given training data and labels, a fitting function f(X) can be obtained. This enables us to directly input new data into the function f(X) to obtain prediction results when facing new data.

英文翻译具有学术风格多用高级词汇不要漏翻译:基于统计学习理论利用已知数据的特征和属性来建立一个可预测的数学模型。通过使用给定的训练数据和标签对网络的权重和偏置进行训练从而获得拟合函数fX。这使得在面对新的数据时我们能够直接将其输入到函数fX中以获得预测结果。

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