| 1. | Treatment of the incomplete data based on the decisive tree
基于决策树的不完整数据的处理 |
| 2. | Dealing with incomplete data based on minimum description length principle
基于最小描述长度的不完备数据处理 |
| 3. | 3 . summarize some kinds of algorithms for dealing with incomplete data . 4
3 .对缺失信息处理的方法进行总结,讨论了各种处理方法的特点。 |
| 4. | The capturing data usually needed to be preprocessed as the noise and incomplete data
滤波方法因其快速、有效，已成为对测量数据光顺、除噪的主要方法。 |
| 5. | 18 dempster a , laird n , rubin d . maximum likelihood from incomplete data via the em algorithm
进一步，数据降维的结果可通过与两个空间相关度量的最大似然解得到。 |
| 6. | 3 . the acoustic wave impedance coefficient is recovered from the incomplete data of the far field pattern
对于系数反问题进行了研究，利用远场模式的不完全数据反演声波阻尼系数。 |
| 7. | Rough order of magnitude estimate an estimate done without detailed costing , or based on initial or incomplete data
无详细成本合算的估计，或者是基于初始的或不完善的数据而进行的估计。 |
| 8. | Interested parties view the same incomplete data , apply different values and assumptions , and arrive at different conclusions
利益团体检阅的是同样不完整的资料，然后加上各自的价值观与假设，最后得到不同的结论。 |
| 9. | Data mining is the period of picking up unknown , but valuable information and knowledge from large amount of incomplete data
数据挖掘就是从大量的、不完备的数据中，提取出事先未知的、但具有价值的信息和知识的过程。 |
| 10. | Journal of machine learning research , 2004 , 5 : 913 - 939 . 16 dempster a p , laird n m , rubin d b . maximum likelihood from incomplete data via the em algorithm
这个一般性的法则揭示了多示例学习与监督学习之间的联系，为多示例学习算法的设计提供了一种通用的途径。 |
