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The marimba is another percussion instrument that is played with a rubber mallet.

马林巴琴是另一种使用橡胶音槌演奏的打击乐器。

However, Marimba is basically regarded as an exotic musical instrument. Thus it is in the beginning state in China both theoretically and educationally in reality. Compared with that in Japan, Marimba in China is slower in acceptance .

但目前马林巴作为一种"异域风情"的乐器,无论是在理论认识和教学推广方面,还是在实际演奏的认可和接受程度上,都仍处在一个较为初始的状态,与隔海而望的日本比,差距仍是非常明显。

An instrument similar to a marimba but having metal bars and rotating disks in the resonators to produce a ''.

电颤琴一种类似马林巴琴的乐器,只不过它金属杆并靠共振器中旋转的盘产生''。

An instrument similar to a marimba but having metal bars and rotating disks in the resonators to produce a vibrato.

电颤琴一种类似马林巴琴的乐器,只不过它金属杆并靠共振器中旋转的盘产生颤音

An instrument similar to a marimba but having metal bars and rotating disks in the resonator s to produce a vibrato.

电颤琴一种类似马林巴琴的乐器,只不过它金属杆并靠共振器中旋转的盘产生颤音

Then we estimate the amount of land use in 2002 and 2005 by Markoff Chain Method and Artificial Neural Network. We also use Markoff Chain to estimate the structure change of land usage from ...

并利用马尔可夫链和神经网络两种方法预测了上海市中心城区 2 0 0 2年和 2 0 0 5年的土地利用结构和土地利用结构的变化。

Aiming at the quality of XML data, this paper introduces a metadata model based on XML cleaning data through Bayes learning method and Markoff Chain probabilistic strategy, and designs a new intelligence method how to clean XML data by the idea which can clean the similarity duplicated records. Comparing with other methods, the experimental results show that it not only has a high automatization and a low manual working, but also has a better precision and recall.

主要针对XML数据质量问题,通过引入贝叶斯学习方法与马尔可夫链概率转移策略建立XML数据清洗过程的元数据模型,综合清洗结构化数据中相似重复记录的思想,提出一种智能清洗XML数据的新方法;实验表明,与其方法比较,此方法不仅自动化程度较高,降低人工参与的程度,而且具有较高的精确度和召回率。

A novel method for semi-supervised classification based on Markov chain was proposed.

提出了一种基于马尔可夫链的半监督分类方法。

The paper first presents an objective model of task scheduling,and then based on the analysis of Q learning algorithm,the Markov decision process description of the scheduling problem is given.

首先建立任务调度问题的目标模型,在分析 Q学习算法的基础上,给出调度问题的马尔可夫决策过程描述;针对任务调度的 Q学习算法更新速度慢的问题,提出一种基于多步信息更新值函数的多步 Q学习调度算法。

In order to plan ahead for multiple moves, an algorithm known as a markov decision process is commonly used when there are only a reasonably small group of possible world states.

为了计划后面多个步骤,当可能的世界状态数目不算太多时,通常用到一种被称作马尔科夫决策过程的算法。

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