Through the learning process, we must accept that that which is taught can be applied, but we must apply independent of the teacher.
通过这个学习过程，我们必须懂得那个教过的能够被运用，但是我们必须申请有主见的老师。
In reworking the Query Monitor course, we applied the DITA process model adapted for learning, as follows.
对QueryMonitor课程重新加工的过程中，我们采用针对学习调整的DITA过程模型，如后所述。
In this article, we describe how we applied this DITA process model for learning to a case study course using content from an existing course on the IBM DB2 Query Monitor.
本文中，我们描述如何将这种学习DITA过程模型应用于一个示范课程，我们使用了现有的IBMDB 2QueryMonitor课程。
Reinforcement learning based on Markov decision process is a way of on-line learning, which can be applied to single agent environment.
基于马尔科夫过程的强化学习作为一种在线学习方式，能够很好地应用于单智能体环境中。
In this paper, explanation learning is creatively applied to and a new method is developed for robot process control.
本文将解释学习应用于机器人过程控制，为之开发了一种新的方法。
This paper describes an approach where machine learning clustering techniques are applied to improve the matching process.
文中描述了一个应用机器学习聚类技术改善匹配过程的方法。
Currently, RST has been applied in many fields as artificial intelligence, machine learning, data mining, decision support and analysis, process control, pattern recognition, fault detection.
目前，粗糙集理论已被成功地应用在人工智能、机器学习、数据挖掘、决策支持与分析、过程控制、模式识别、故障检测等领域。
The learning process also applied to other tasks, that is, task performed by the support personnel.
这种学习过程也适用于其它一些工作，如由生产辅助人员完成的一些任务。
Methods Using the theory of objective management, nursing process and contract learning, "the objective teaching evaluation form" was designed and applied in clinical nursing teaching.
方法运用目标管理、护理程序的理论和契约学习的方法，制订《目标教学测评表》，用于护理临床带教。
As predicted, children applied comparison in the process of learning names for parts.
结果验证了假设，说明儿童学习物体名称应用了比较。
A new decision-making approach that rough set is applied to CBR is proposed to fulfill an on-line knowledge self-learning process.
因此将粗糙集应用于基于案例推理，提出基于粗糙案例推理的在线自我学习决策方法。
A new decision-making approach that rough set is applied to CBR is proposed to fulfill an on-line knowledge self-learning process.
因此将粗糙集应用于基于案例推理，提出基于粗糙案例推理的在线自我学习决策方法。
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