| 1. | Decision tree model based on bayesian inference
基于贝叶斯推理的决策树模型 |
| 2. | Target tracking based on bayesian inference
基于贝叶斯推理的目标跟踪 |
| 3. | Review on bayesian reasoning research
贝叶斯推理研究综述 |
| 4. | A study on the relationship between knowledge schema and bayesian reasoning
知识图式对贝叶斯推理的影响 |
| 5. | A study on the influence of subject relevancy on bayesian reasoning
主体关联性对贝叶斯推理概率估计的影响 |
| 6. | Bayesian inference network
贝叶斯推理网络 |
| 7. | Facilitating effect of transparent nested - sets relations on bayesian reasoning
明确嵌套集合关系对贝叶斯推理的促进效应 |
| 8. | The computational results indicate that parameters estimation by bayesian method and mcmc sampling has a high precision
计算结果表明采用贝叶斯推理获得的模型参数估计具有很高的精度。 |
| 9. | Based on the related research work , a new data fusion method is presented in this thesis . this method combines many technologies such as toa , tdoa , aoa , hybrid algorithm and bayesian theorem etc . , and statistic characteristics is used to process the simulation results in order to achieve higher location performance
该方法融合了toa 、 tdoa 、 aoa定位和贝叶斯推理等技术，并结合上文所提的混合定位算法，利用初步定位结果的统计特性对定位结果进行数据处理，从而达到较高的定位精度，提高定位性能。 |
