EM 算法 EM 算法 如果概率模型的变量都是观测变量,则给定数据之后,可以直接用极大似然估计法或者贝叶斯估计法来估计模型参数。 但是当模型含有隐变量时,就不能简单的使用这些估计方法。此时需要使用EM 算法。 EM 算法是一种迭代算法。 EM 算法专门用于含有隐变量的概率模型参数的极大似然估计,或者极大后验概率估计。 EM 算法的每...
Part 13 - The Data Segment Part 13 - The Data Segment For a complete table of contents of all the lessons please click below as it will give you a brief of each lesson in addit...
13 Discovery of block devices Item key Supported macros 13 Discovery of block devices In a similar way as file systems are discovered, it is possible to also discover block ...
13. Problem acknowledgment Overview Updating problems Display 13. Problem acknowledgment Overview Problem events in Zabbix can be acknowledged by users. If a user gets no...
13 Upgrade notes for 5.0.3 Zabbix agent on IBM AIX 13 Upgrade notes for 5.0.3 Zabbix agent on IBM AIX Zabbix agent for AIX has been enhanced with capability to monitor physi...