属性选择符有四种匹配方式。
根据在初始分析中确定的属性选择要公开的属性。
Properties. Choose the properties to expose based on those identified in your original analysis.
神经网络的输入属性选择一直是一个比较困难的问题。
Neural network feature selection is an open issue hard to solve.
从属性选择和维变换两个方面对维规约技术进行了概括。
Dimension reduction techniques were discussed from the two aspects: feature selection and dimension transformation.
本文提出了一个基于信息增益和卡方检验的属性选择算法。
This paper proposes a new future selection algorithm based on information gain and chi-square test.
提出一种基于数据属性重要性排序的神经网络属性选择方法。
This paper presents a method of neural networks feature selection based on data attributes importance ranking.
提出了一种可分性判据排序的RBF神经网络属性选择方法。
Another method of RBF neural networks attributions selection based on a separability criterion ranking is presented in this paper.
另一个示例是根据属性选择打印机服务时的情况，如场所编号和文档类型。
Another example is the case when a printer service is selected based on the properties, such as the floor number and document type.
文中提出一种基于数据属性重要性排序的神经网络属性选择方法。
This paper presents a method of neural network attributes selection based on data attribute importance ranking.
在构造决策树的过程中，分离属性选择的标准直接影响分类的效果。
In the process of constructing a decision tree, the criteria of selecting partitional attributes will influence the efficiency of classification.
如这段代码所示，可以通过用脚本编写的bean根据系统属性选择不同的实现。
As this snippet shows, you could use a scripted bean to select a different implementation based on a system property.
文章提出了多个关系整体分布方法，给出分布属性选择和处理机分配算法。
An integral distribution method of relations is proposed, which includes the algorithms of selecting distributed attribute and assigning processors.
属性选择问题可以分为有指导学习环境下的选择和无指导学习环境下的选择。
According to various of applications of the datasets, feature selection algorithms can be categorized as either supervised learning or unsupervised learning feature selection approaches.
样式表把属性（可以控制的属性）和值（为这些属性选择的值）与样式选择符联系起来。
The style sheet attaches properties (attributes that you can control) and values (your choices for the attributes) to the style selectors.
财务报告信息质量特征是用户导向的财务报告目标与计量属性选择之间的桥梁。
The qualitative characteristics of financial reporting information are the bridge between user-oriented objective of financial reporting and measurement attributes.
属性选择是机器学习的核心问题之一，它关系到归纳算法的复杂性和学习性能。
The selection of attributes, which involves the complexity and performance of induction algorithms, is.
通过对原有决策树学习算法的研究，提出了以分类准确度为基础的属性选择算法；
We bring forward the newly attribute chosen algorithm based on classified certain degree of condition attributes for decision attribute.
该算法使分层递阶约简算法从简单的属性分层处理拓展至属性选择和属性压缩处理。
This hierarchical reduction approach extends the simple classified attributes reduction to attributes selection and attributes reduction.
本文主要研究会计计量属性对产权界定的影响，期望为人们的计量属性选择提供依据。
This paper mainly studies on the influence of accounting measurement attributes to the definition of property rights, expecting to provide a basis for selection of measurement attributes.
属性选择通常作为一个主要的预处理步骤，在机器学习和数据挖掘领域有着广泛的应用。
Feature selection has abroad application in machine learning and data mining area, it is always applied as a primary pre-processing step.
以完全随机树(不包含属性选择过程的决策树)作为基学习器的集成，具有很好的性能。
Ensemble of complete random trees, i. e. decision trees without any split selection, has high performance.
但是，无指导学习环境下的属性选择往往无法取得像有指导学习环境下那样令人满意的结果。
However, the result of the feature selection in unsupervised learning is not as satisfactory as that in supervised learning.
在根据入侵规则构造决策树时，所依据的分类属性选择标准对决策树的形状和深度有很大的影响。
The choice of attribute selection metric to split has an important impact on the shape and the depth of the resulting decision tree.
更重要的是，OSIMM允许组织根据一组属性选择理想的成熟度级别，这些属性与组织的业务目标相适应。
More importantly, OSIMM allows an organization to pick their desired level of maturity based on a set of attributes that align with the business goals of the organization.
该方法避免了现有的神经网络降维方法必须对全部属性进行训练和裁剪的弊端，大大提高了属性选择的效率。
It avoids the deficiency of traditional neural network methods needing to train all attributions, which greatly improves the efficiency of attributions selection.
前者从数据的离散化，降维，和属性选择方面有效的解决了处理大规模高维数据库时的效率与精度之间的矛盾。
The former algorithm makes improvements from three aspects: discretization, reducing dimension, attribute selection, which effectively solves the conflict between efficiency and prediction precision.
针对原有互信息属性选择存在的偏向于低频词的问题，提出了一种改进的基于互信息的军用信息属性选择算法。
Aiming at the problem of trending to the low-frequency words existing in original mutual information method, we present an improved attribute-choosing algorithm of mi.
传统的ID3决策树算法以信息增益作为属性选择的准则值，但是信息增益大的属性并不一定就是有价值的属性。
Information gain is the measurement of the attributes selection in classical decision tree algorithm-ID3, but the attributes with high information gain is not always the valuable attributes.
同时，提出使用属性选择和实例选择方法实现近似挖掘的方案，并对该方案进行挖掘效率和结果模型准确性的分析评估。
At the same time, the solution using attribute selection and instance selection to realize the approximation mining is brought out, and the mining efficiency and result model.
同时，提出使用属性选择和实例选择方法实现近似挖掘的方案，并对该方案进行挖掘效率和结果模型准确性的分析评估。
At the same time, the solution using attribute selection and instance selection to realize the approximation mining is brought out, and the mining efficiency and result model.
应用推荐