1) feature prediction
特征预测
1.
We first explored the precise meaning of the Bayesian Rule,and then investigated whether feature predictions in uncertain circumstances of classification complied with the rule.
探讨了Bayesian规则计算公式的具体含义,进而考察了归类不确定情境下的特征预测是否符合Bayesian规则。
2.
Introduction Category use mainly includes category judgment and feature prediction.
运用预备实验评定过的鱼轮廓图,考察了类别判断和特征预测这两种类别使用方式下的特征诊断效应。
2) spectral character of prediction
预测谱特征
3) prognostics feature information
预测特征信息
1.
A prognostics feature information extraction approach was proposed based on wavelet correlation feature scale entropy WCFSE.
提出一种小波相关特征尺度熵WCFSE的预测特征信息提取方法。
4) Prediction of mass spectral characteristics
质谱特征预测
5) the overall conditional probability
预测特征综合条件概率
1.
It is found that the overall conditional probability of a prediction feature relative to a target feature influences feature induction,whereas the representative typicality of examples does not influence feature induction.
预测特征综合条件概率策略能预测解释这种结果。
6) prediction model of flood characteristic indices
洪水特征指标预测模型
补充资料：发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条