The estimators, m and b, that satisfy the least-squared-error criterion can be found in two basic ways.
可以用两种基本方法来找到满足最小方差法的估计值m和b。
Using a least-squared-error criterion to determine the line of best fit involves finding estimates of m and b that minimize the squared error of prediction.
使用最小方差法来确定最吻合的直线涉及寻找使预测方差最小的 m和 b的估计值。
The discounted least squares (DLS) principle is borrowed to construct the learning algorithm of DLS-RBF based upon squared error criterion.
借用打折最小平方(dls)原理构建了基于误差平方准则的DLS R BF网络的学习算法。
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