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1)  generalized confidence
广义置信度
1.
Besides,it updates sample weights according to the generalized confidence which is simple and effective.
算法提出根据广义置信度更新样本权重,实验证明这种算法适用于大规模多类分类问题。
2.
Besides,it updates sample weights according to the generalized confidence,which proved to be simple and effective.
此外,该算法根据广义置信度更新样本权重,实验证明此方法简单有效。
2)  generalized pivotal
广义置信域
3)  generalized confidence limit
广义置信限
4)  generalized confidence interval
广义置信区间
1.
By using the concept of generalized confidence interval,the exact confidence intervals were obtained and their frequency properties and invariance were shown.
研究了非平衡单层套设计中组间方差分量的区间估计问题,利用广义置信区间的概念,建立了精确置信区间,证明了频率性质和不变性,模拟结果说明其在覆盖概率和区间长度方面优于文献中的已有方法。
2.
Using the concepts of generalized p-value and generalized confidence interval,the testing and confidence interval problems of unknown parameters in Panel model are studied.
利用广义p-值和广义置信区间的概念,研究了Panel模型中未知参数的检验和置信区间问题。
3.
Based on typeⅡcensored data,a generalized lower confidence limit is constructed for the reliability life of a two-parameter exponential distribution by using the concept of a generalized confidence interval due to Weerahandi.
基于双参数指数分布定数截尾数据,利用Weerahandi给出的广义置信区间的概念,建立了可靠寿命的广义置信下限,并从理论上证明了我们给出的广义置信下限是精确的,即基于广义置信下限的区间估计的覆盖率等于要求的置信水平。
5)  generalized transpose
广义转置
6)  generalized information
广义信息
1.
On the basis of the feature of modeling information source and the influence of key randomness on ciphertext probability model, we put forward generalized information source described by random probability model and generalized information source entropy.
并把Shannon信息推广为前信息及广义信息,证明了二种信息量之和对确定的划分A(或信符集)守恒。
补充资料:广义
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