评分函数法 Scoring Fumction
Casual users are the estimator. We know that the Score Function of SEEKER with ranking result sets is related to several factors such as sizeof(T), but they greatly influent accuracy of ranking in case of non-normal.
用户是对结果集的最终评价者,然而SEEKER系统中用于对结果排序的评分函数与相关因子如sizeof(T)等有关,这些因子未标准化的情况下,大大影响排序准确度。
参考来源 - 基于关系数据库的关键词模糊查询及结果集排序策略研究·2,447,543篇论文数据，部分数据来源于NoteExpress
评分函数设计是预测蛋白质结构的关键之一。
Designing a scoring function plays a key role in protein structure prediction.
然而，关于决策树评分函数的研究尚未取得令人满意的结果。
But satisfactory progress has not made in the score functions of decision tree models.
决策规则，最后定义一个评分函数对整个方案集进行排序和优选。
Finally, we define a score function to sort all the alternatives and select the best one.
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