Log file analysis is a hot topic in machine learning and monitoring tools.
日志文件分析在机器学习和监控工具领域是一个非常热门的主题。
This enables a self-learning robust system that can push the most accurate data to new users who log into that location.
这实现了一种自主学习的健壮系统，能够为登录到该位置的新用户推送最准确的数据。
Fortunately, the impact of log statements on performance is minimal or nonexistent for most cases, and because the logging tools are easy to use, the learning curve is very small.
幸运的是，日志对于性能的影响很小，大部分情况下甚至根本不会对性能产生任何影响，而且由于日志工具非常简单易用，因此学习曲线也非常平滑。
Some walkers make the loop once or twice, while others manage to log several miles, learning about interesting subjects along the route.
有些团员会走一两圈，而其它的人则走上好几英里，沿途学习有趣的新知。
Some walkers make the loop once or twice. while others manage to log several miles. learning about interesting subjects along the route.
有些团员会走一两圈，而其他的人则走上好几英里，沿途学习有趣的新知。
This paper constructs a new practical distance learning system that is low cost and high speed by the means of satellite LOG combining with ground connection well.
该文从实际出发，通过卫星通信线路和地上线路的有机结合，构筑了低成本、高速率的基于卫星的远程教学系统，并在其上进行了模拟教学实验。
The system performance has been greatly improved when the Log-linear and Rank-SVM models in machine learning are applied to fuse a few systems to get the last results list.
为了提高系统性能，应用机器学习中的Log -linear和Rank - SVM模型提出了基于系统融合的结果链表二次调序方法。
Meanwhile, the precision can be raised to 75% by user log learning.
而通过日志学习，能将查准率提高到75%以上。
Multilog correlation is a core log-data analysis use case for unsupervised and reinforcement learning.
多样相关性是用与无监视和强化学习的焦点日志数据剖析使用案例。
Multilog correlation is a core log-data analysis use case for unsupervised and reinforcement learning.
多样相关性是用与无监视和强化学习的焦点日志数据剖析使用案例。
应用推荐