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Home > chinese-english > "attribute selection" in English

English translation for "attribute selection"

属性选择

Related Translations:
attributes:  属性特征为球员的基本属性,这里包括几乎所有球员的隐藏及常见属性
text attribute:  文本属性
analytic attribute:  分析属性
subport attribute:  子端口属性
typeface attribute:  印刷体属性
attribute tag:  属性标签
attribute enquiry:  属性查询属性询问
nonkey attribute:  非码属性
spatial attribute:  空间属性
architectural attributes:  结构属性
Example Sentences:
1.Fast attribute selection algorithm based on fractal dimension
一种基于分形维的快速属性选择算法
2.But most of the existent decision tree algorithms suffer a problem , namely multivalue bios , in the process of attribute selection
现存的决策树算法普遍地存在着一个问题? ?属性选择时的多值偏向。
3.This hierarchical reduction approach extends the simple classified attributes reduction to attributes selection and attributes reduction . furthermore , the properties and the case study of these three extended approaches are expatiated respectively
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。
4.4 . combining the attribute selection method with rough analysis , a classifier modeling method is put forward , which owns the ability of deleting redundant attributes and deducing rules based on rough analysis
将属性选择方法与rough分析相结合,利用rough分析可以剔除属性集合中冗余属性并进行规则归纳的能力,提出一种基于rough分析的分类器建模算法。
5.Firstly , some basic algorithms for inducing decision tree are discussed , including id3 , which uses information gain to select a splitting attribute when partitioning a training set ; c4 . 5 , which can deal with numeric attributes ; cart , which uses gini rule in attribute selection and induces a binary tree ; public , which puts tree pruning in the tree building phase ; interactive method , which puts artificial intelligence and human - computer interaction into the procedure of decision tree induction ; as well as sliq and sprint which are scalable and can be easily parallelized . advantages and disadvantages of these algorithms are also presented
文中详细阐述了几种极具代表性的决策树算法:包括使用信息熵原理分割样本集的id3算法;可以处理连续属性和属性值空缺样本的c4 . 5算法;依据gini系数寻找最佳分割并生成二叉决策树的cart算法;将树剪枝融入到建树过程中的public算法;在决策树生成过程中加入人工智能和人为干预的基于人机交互的决策树生成方法;以及突破主存容量限制,具有良好的伸缩性和并行性的sliq和sprint算法。
6.One attribute selection and reduction method is presented based on that using factor analysis technology to divide conditional attributes into groups to outline that conditional attributes in one attribute group is relevant to corresponding factor , and those factors are linear combination of target concept . information entropy evaluation is used for attribute selection based on that whether the attributes groups and attributes are strong correlation with corresponding target concept and factor , reserving attributes that are correlative to target concept , and deleting irrelevant attributes
提出一种属性选择和属性消减方法,引入因子分析技术对条件属性进行分组,每个属性类内部的条件属性与相应的因子线性相关,所有因子是目标概念的线性组合,根据属性类或属性是否与相对应的目标概念或因子强相关,引入信息熵评价方式对之进行选择,选择出与目标概念相关的属性,剔除无关的属性。
Similar Words:
"attribute savable" English translation, "attribute search" English translation, "attribute searching" English translation, "attribute section" English translation, "attribute security" English translation, "attribute set" English translation, "attribute shape grammar" English translation, "attribute similarity" English translation, "attribute simulation" English translation, "attribute space" English translation