研究结果表明，在样本分布和量化级数不变时，泛化均方差和学习均方差是权调整率的非增函数。
Research results indicate that generalization ability and learning accuracy are the non decreasing function of weight adjusting ratio.
麻省理工学院之成绩计算并非以原始分数及其分布函数情形而一成不变，也就是说，成绩不是仅以既定的百分比来核定。
Grades at MIT are not rigidly related to any numerical scores or distribution functions, that is, grades are not awarded solely according to predetermined percentages.
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