Supervised learning is the most common technique for training neural networks and decision trees.
监督学习是训练神经网络和决策树的最常见技术。
Deterministic decisions where rules can be described in "if then" constructs, decision tables or decision trees.
规则可以在“ifthen”结构、决策表或决策树中描述决定性的决策。
This sort of learning could take place with neural networks or support vector machines, but another approach is to use decision trees.
这种学习可以使用神经网络或者支持向量机，不过用决策树也可以实现类似的功能。
Using decision trees in expert systems is nothing new, but applying that idea to a crowdsourcing model might possibly be a stroke of genius.
在专家系统里使用决策树并非什么新鲜事物，但是把这种想法和大众外包（crowdsourcing）模式结合在一起实属天才之作。
The most common artifacts provided by almost every industry-leading BRM tool are rule and rule-set templates, decision tables, and decision trees.
几乎所有业界领先的BRM工具都提供的最常用构件是规则和规则集模板、决策表和决策树。
Choose factors from different aspect, analyze data, get decision trees.
筛选不同方面的因素，经过数据分析，得到决策树。
This approach has been extensively investigated for association rules and decision trees.
这种方法在关联规则和决策树中得到了广泛的研究。
Some classical clustering algorithms and decision trees algorithms are analyzed and compared.
并具体分析比较了多种的典型聚类和决策树数据挖掘算法。
A new heuristic function to build decision trees based on variable precision rough set is proposed.
应用变精度粗糙集理论，提出了一种利用新的启发式函数构造决策树的方法。
For modeling of medical ward based on data fusion and data mining, multi - layer perceptron network and decision trees are used.
在结合数据融合和数据挖掘的医疗监护模型的建模方面，采用多层感知器网络和决策树方法建立报警决策器的模型。
This paper pointed out the shortages of reasoning algorithms of the present belief decision trees and then proposed a new reasoning algorithm.
指出现有信度决策树中推理算法的不足之处，给出了一种新的基于规则的推理算法。
Though there are some shortages in rules setting and parameter optimization, the computational verb decision trees are powerful and useful tools.
虽然其在规则设置与参数优化上还是存在着一些不足，但仍可以看出计算动词决策树是一个非常强大和有效的工具。
It might be very silly to use decision trees for learning how to actually explore a jungle but very reasonable to use them for picking food at a restaurant.
也许用决策树来学习如何在丛林中勘查是非常愚蠢的，但用它们在餐馆中选取食物却非常合适。
By the method of learning from examples, DKAS inductively acquires knowledge, in representation of decision trees, from large amount of experience data.
DKAS系统采用示例式学习方法，从大量经验数据归纳获取知识，知识表示为决策树形式。
In this model, a logistic regression function is induced from multiple decision trees, which are built based on different training sample sets respectively.
该模型通过对使用多个样本集分别训练出的多棵决策树预测函数进行逻辑回归来得到最终的预测函数。
In the process of constructing decision trees, DKAS takes advantage of background knowledge about structured attributes to direct learning, so the quality of learning improves.
决策树构造过程中利用关于结构化属性的背景知识指导学习过程，有效地提高了学习质量。
Classification (also known as classification trees or decision trees) is a data mining algorithm that creates a step-by-step guide for how to determine the output of a new data instance.
分类(也即分类树或决策树)是一种数据挖掘算法，为如何确定一个新的数据实例的输出创建逐步指导。
According to the character of expected information, the article proposed a new ID3 algorithm of decision trees to reduce the complexity of computing expected information by the convex function.
根据ID3算法中信息增益计算原理的特点，利用上凸函数的性质提出一种新的改进的ID3算法，减少了信息增益的计算量，进而提高ID3算法中信息增益的计算效率。
Decision trees provide an alternative representation of sequential if-then rule sets.
决策树提供了序列if - then规则集的另一种表示形式。
Decision trees graphically depict chains of dependent conditions leading to an action.
决策树以图形方式描述导致某项操作的相关条件链。
Decision trees and their ensembles are popular methods for the machine learning tasks of classification and regression.
决策树和决策树的组合，是解决分类问题和回归问题比较流行的一类算法。
Decision trees and their ensembles are popular methods for the machine learning tasks of classification and regression.
决策树和决策树的组合，是解决分类问题和回归问题比较流行的一类算法。
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