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- sparse data representation 稀疏数据表示
- Sparse data stream found in file record segment %1. 在文件纪录段%251找到了稀疏数据流。
- A widely-used data representation format. 一种被广泛使用的数据表示形式。
- In programming languages, the transformation between values which represent the same data item but belong to different data types. Note: information may be lost due to conversion since accuracy of data representation varies among different data types. 在编程语言中，表示相同数据项但属于不同数据类型的值的变换。注：转换可能会损失信息，因为对于不同的数据类型其数据表示的精度不同。
- Object is used to convert the path to a canonical data representation. 对象用于将路径转换为规范化数据表示形式。
- In order tosolve the problem caused by sparse data two concepts of modificatory degree and modificatory distance are proposed. 为了减小数据稀疏的影响，又提出了修饰度的与修正距离的概念。
- Class is used to convert the path to a canonical data representation. 类用于将路径转换为规范化数据表示形式。
- Supervised learning with the use of regression and classification networks with sparse data sets will be explored. 也将在课程中以带有稀疏值理论的分类神经网路与回归的使用来探讨监督式学习。
- A constant is given to smooth the sparse data and some handcrafting rules are used to amend the results. 对于棘手的稀疏数据问题只简单地设置平伏常数加以平滑，最后利用少量人工规则修正标注结果。
- Mapping a data representation from an object model to a relational data model with a SQL-based schema. 用来把对象模型表示的对象映射到基于SQL的关系模型数据结构中去。
- XML documents tend to be quite large compared with other forms of data representation. 和其它形式的数据表示相比,XML文档往往很大。
- This canonical data representation also enables a high degree of reuse in any given integration application. 这一规范的数据表示还启用了任何给定集成应用程序中的高度重用。
- From the perspective of the server, the view becomes the data representation it sends in response to client requests. 从服务器的角度来看,视图成为它响应客户机请求而发送的数据表示。
- It proposes a K-means type subspace clustering for supplier categorization to analyze the high dimensional and sparse data,because transaction data of supplier behavior is mass and complicated. 针对供应商行为的交易数据最大、表达复杂的特点,提出基于k-均值子空间聚类算法对供应商分类的数据挖掘方法,解决高维和稀疏数据的分析问题,并通过实例验证该方法的准确性和高效性。
- Note:information may be lost due to conversion since accuracy of data representation varies among different data types. 注：转换可能会损失信息，因为对于不同的数据类型其数据表示的精度不同。
- Thus a SS/OSF clustering method is proposed for high-dimensional sparse data object based on set similarity(SS) and object set feature(OSF) with the addability of object set features. 该方法基于对象组相似度(SS)和对象组特征向量(OSF),并借助对象组特征向量的可加性实现。
- We introduce and motivate the main theme of the course, the setting of the problem of learning from examples as the problem of approximating a multivariate function from sparse data - the examples. 我们介绍且激发课程的主题将朝向于实例学习法的问题设定，例如稀疏值中多变量函数近似的问题。
- Symbolic data representation, how pattern matching is used to pack/ unpack data, how functions are combined to form programs etc. 抽象数据表示，模式匹配来打包/包数据，函数如何组合成为程序等。
- In this case, even the data representation used in the message matches that of the system and programming environment of the service provider. 这种情况下,消息中使用的数据表示也和服务提供者的系统及编程环境匹配。
- A wrapper is responsible for mapping the data representation of remote query results into the table format as required by the federated engine. 包装器负责将远程查询结果的数据表示映射为联邦引擎所要求的表格式。
