Problem representation is the key issue in solving problems.
问题表征是问题解决的重要环节。
Problem representation is the focus conception of problem solving.
问题表征是问题解决理论中的核心概念。
Problem representation is a process of circle which involves a factor of insight.
问题表征是一个循环深入的过程，基中伴有顿悟的因素。
The study expatiates the role of the mathematics problem representation in problem-solving;
阐述了问题表征在数学问题解决中的作用；
Correct problem representation is the premise and guarantee of solving problem successfully.
正确的问题表征是成功地问题解决的前提条件和重要保证。
The system consists of some basic tools for problem representation, bypass and split feasibility analysis, and separation synthesis.
系统包括分离综合问题的表达，物流旁路及分离的可行性分析，应用有序经验规则进行分离综合几个部分。
Among them, problem representation is the core and key of problem solving, which is a hot topic in subject problem solving in recent years.
其中问题表征是问题解决的核心和关键，是近年来学科问题解决研究的热点。
In the view of problem representation, the quantity and hierarchical of condition conception can be applied to assess the tactical thinking.
从问题表征的角度看，条件概念的数量与层次结构可作为运动思维战术性的评价指标。
The results showed that students' intelligence has significant influence on the dynamic feature of physics the problem representation system.
结果证明，智商水平对物理问题解决表征体系动态特征的影响显著。
Compared to novices, experts have meaningful perceptual pattern, quickly action, exceptional memory, deeper problem representation, better self-regulatory skill, etc.
与新手相比，专家具备有意义知觉模式，速度快，非凡的记忆能力，表征问题深入，较强的自我监控技能等特征；
Problem representation is the problem-solving start stage, is also the key of problem-solving, the quantity of problem representation will directly affect the problem to resolve.
问题表征是问题解决的起始阶段，也是问题解决的关键之一，问题表征质量的高低将会直接影响到问题解决。
Sets of flat, separated orthographic projections and isometric views of the same objects were used to study the effects of structures of problem representation on the solution of spatial problems.
借鉴内隐记忆的研究范式，采用平面、分离的正投影问题解决及其相应轴测投影图的再认任务，探讨问题表征的结构特征性对空间问题解决和再认水平的影响。
The problem lent itself well to a relational representation, especially as it was not necessary to store the contents of the visited pages, just their structure and metadata.
这个问题可以借助关系表示来很好地解决，特别是因为这种方法不需要存储已访问页面的内容，只需要存储它们的结构和元数据。
AS such, computers used an English character representation from standard ASCII with no problem.
因此，如果计算机使用来自标准ASCII的英语字符表示，肯定没有问题！
Exceptions, of course, being configuration issues that appear in the problem domain, such as currency representation, though even that could be done automatically by detecting the current locale.
当然也有例外，象出现在问题领域的配置问题，如货币表示符号，当然它也可以通过检测当前语言环境来自动完成。
A coherent representation with JSON, however, faces a technical problem.
然而，一个与JSON一致的表现会遇到一个技术问题。
Any other approach ignores the representation problem, assumes that context-free facts and logical rules are sufficient, and will fail.
任何其他方法都忽略了表示方面的问题，均假定不会受到环境限制且逻辑规则就已足够了，此方法将会失败。
The first problem you have to solve is proper representation of Unicode data.
需要解决的第一个问题是Unicode数据的恰当表示。
It is to overcome this problem that Axis2 introduced a new XML representation for it base.
为了克服此问题，Axis2引入了新的XML表示形式作为其基础。
Although there are industry standards for data representation in healthcare, such as HL7, a fundamental problem with those standards is their varied interpretation in software.
尽管医疗行业有数据格式的行业标准(如hl7)，但是这些标准的一个根本问题在于它们在不同软件中格式不一样。
Representation of tree is a difficult problem in 3dgis.
在3dgis中，树的表达是一个难点问题。
"The amount of computer memory to solve that problem is trivial," says Marcus, "the hard part is to translate between what's in the brain and getting into that computer representation."
“需要多少电脑内存来解决这个问题倒是次要的，”Marcus说，“困难的部分是如何把大脑中的信息转换成机器能识别的信号。”
A pattern recognition problem is not only specified by a representation, but also by the set of examples given for training and evaluating a classifier in various stages.
模式识别问题不仅与表示方法有关，也跟用于在分类器设计各个阶段进行训练和测试的用例集有关。
A general and abstract theoretic model of reflection, namely, Information-Representation-Controlling of reflection, is proposed to solve the problem.
针对这个问题，提出了一种通用、抽象的反省理论模型：信息—表示—控制模型。
Once a recognition problem has been formulated by a set of example objects in a convenient representation, the generalization over this set may be considered, finally leading to a recognition system.
一旦识别问题通过一组用适宜的表示方法表示的用例对象集来形式化后，于是可能就要考虑在这个用例集上的推广问题，最后才产生一个识别系统。
Representation and retrieval of resources is the main problem.
资源的描述和检索是其中的主要问题。
Text Representation has been the fundamental problem in Information Retrieval, such as text retrieval, automatic summary and search engine.
文本的形式化表示一直是文本检索、自动文摘和搜索引擎等信息检索领域关注的基础性问题。
It 's believed that this framework can be efficiently used for comparison and selection of knowledge representation scheme in problem solving.
最后认为此框架可有效地帮助问题求解中知识表示规范的比较和选择。
The problem of Dimensional Representation of painting is one of the most important problems which is concerned by art creativity and art theory.
绘画的空间表现问题是艺术创造以及艺术理论研究的重要问题之一。
Deep learning solves this central problem in representation learning by introducing representations that are expressed in terms of other, simpler representations.
通过引入由许多更简单的浅层表达组合得到高层表达，深度学习解决了表达学习这个中心问题。
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