subjective bias meaning in Chinese
主观偏误
Examples
- Just because a statistic doesn ' t validate our subjective biases doesn ' t mean it is flawed
一项数据不能完全客观体现球员的能力并不代表它就是毫无道理的。 - Comparing with non - bnyain methods , it ' s prominent featares lay in that it combines the prior and posterior information , which avoids the disadvantag of subjective bias caused by simply using the prior information only , of blind search caused by the incomplete sample information , of noise affection caused by simply using the sample information only if we choice a suitable priof , we can conduct the bayesian leaming effectively , so it fits the problems of data mining and machine leaming that possess charaters of probability and statistics , especially when the samples are rare
与非贝叶扬方法相比，贝叶斯方法的特出特点是其学习机制可以综合先验信息和后验信息，既可避免只使用先验信息可能带来的主观偏见，和缺乏样本信息时的大量盲目搜索与计算，也可避免只使用样本信息带来的噪音的影响只要合理地确定先验，就可以进行有效的学习。因此，适用于具有概率统计特征的数据采掘和机器学习（或发现）问题，尤其是样本难得的问题