1) Nationality selection
族属选择
2) attribute selection
属性选择
1.
Research on Attribute Selection Algorithm Based on Classification Theory of Corelation between Attributes;
基于属性间相关性分类理论的属性选择方法研究
2.
This method cam minimize the attribute selection,and keep the ability to classify tax data without great changes.
该算法解决了原有基于属性重要度的启发式属性约简算法结果中存在冗余属性问题,实现了属性选择较小化,并保持原有数据分类能力不发生大的变化。
3.
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。
3) feature selection
属性选择
1.
Improved BP neural network feature selection method
一种改进的BP神经网络属性选择方法
2.
Feature Selection Method Based on Fractal Dimension and Ant Colony Optimization Algorithm
基于分形维数和蚁群算法的属性选择方法
3.
A feature selection measure was defined to increase the classification rate and the purity of each sub-database.
利用粗糙集理论,从提高分类正确性和子数据库纯度的角度出发,提出了属性选择量度和分解过程终止量度。
4) Attributions selection
属性选择
1.
Study on Attributions Selection and Rule Extraction of Data Mining for Classification Based on Neural Networks;
基于神经网络的分类数据挖掘属性选择和规则抽取研究
5) attributes selection
属性选择
1.
This paper presents a method of neural network attributes selection based on data attribute importance ranking.
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。
6) sE-selectins
sE-选择素族
补充资料：族属
1.同族的亲属。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条