Using the theory of asymptotic expansions to study a problem of track parameter association is firstly advanced.
提出利用渐近分析理论研究多类传感器相关参数及其在时间域上参数方程的航迹参数关联问题。
Using the theory of asymptotic expansions to study the problem of track parameter association is firstly advanced.
提出利用渐近分析理论研究多类传感器相关参数及其在时间域上参数方程的航迹参数关联问题。
Association rule mining is a highly interactive task, and users usually have to try many different parameter Settings to achieve the desired result.
关联规则挖掘是一项高度交互的任务，用户通常需要尝试多种参数设置才能达到理想的结果。
应用推荐