| 1. | Posterior likelihood ratio tests for multivariate linear model based on normal - inverse wishart prior
先验信息下多元线性模型的后验似然比检验 |
| 2. | This method fully utilizes the soft outputs of channel coder , and regards it as prior information
该估计方法充分利用了译码器软输出中包含的数据的先验信息。 |
| 3. | The iteration formula and determination of iteration step are set up according to a priori information of rock and concrete
建立了考虑先验信息的修正高斯-牛顿算法的迭代格式和迭代步长的确定方法。 |
| 4. | At the same time , the previous global estimate of failure probability can serve as additional prior information to yield the overall calibrated probability
同时，先前估计的全局破坏概率，能够用作额外的先验信息，来给出全部校准的破坏概率。 |
| 5. | It may find the hiding and potential rules , that is knowledge , from the data without any preliminary or additional information
它无需提供相关数据集合以外的任何先验信息，适合于发现数据库中隐含的、潜在有用的规律，即知识，找出其内部数据的关联关系和特征。 |
| 6. | The definition of the maximum likelihood estimator with the prior information ( pmle ) is given in this paper , and the consistency and asymptotic normality of pmle are proved
摘要定义了有先验信息的极大似然估计，它能够充分利用参数的先验信息，还具有正规条件下的相合性和渐近正态性。 |
| 7. | In order to reduce measure error causing by nlos , it adopt and regard intensity of the signal as right value , construct some tdoa measurement value again with the priori information
为了减少非视距传播nlos引起定位参数测量误差，采用以信号强度为权值，用先验信息重构部分tdoa测量值。 |
| 8. | Normally , the signal detection in this situation is non - cooperative and lacks adequate prior information ; therefore , it is a type of blind detection or approximate blind detection
一般而言,在此情况下的信号检测属于非合作式检测,通常缺少一定的先验信息,因此也被归于盲检测或是近似盲检测的范畴。 |
| 9. | In the research of the protein modification of n - acetylation , by properly using prior knowledge and upgrading the pattern extraction method , improvement in performance of the svm model was achieved
在对蛋白质的乙酰化修饰的预测过程中，通过合理地利用先验信息，改进模式提取方法，能够显著地提高支持向量机模型的预测性能。 |
| 10. | It does not depend on any previous information except for the data set itself . it also has the strong ability in analyzing and dealing with the information which is imprecise , uncertain and incomplete
该理论不依赖于所需处理的数据集合之外的任何先验信息，对不精确、不确定、不完整的信息和知识具有很强的分析处理能力。 |
