decision tree的例句大全

ID 3 is the key algorithm of decision tree algorithm, but there is existing variety bias problem.

ID3算法是决策树算法中的经典算法, 但存在多值偏向问题.

Evolutionary decision tree method has the advantage of global search.

演化决策树方法将传统的决策树算法与演化算法相结合,具有全局搜索的优点.

Finally, the decision tree method is used to accelerate the matching speed.

最后使用决策树方法提高匹配速度.

A decision tree is a graphic model of a decision process.

决策树是描述决策过程的一种图形.

After some typical decision tree arithmetic are discussed, the paper puts forward a metric-based decision tree.

在讨论了几种经典的决策树算法后, 论文提出了一种基于度量的决策树.

Decision tree is a method to induce rules from data.

决策树是一种从数据中归纳规则的方法.

Integrating the decision tree method, the classification of multi-classes was realized.

并与决策树方法相结合, 实现多类分类.

From these data a tree induction algorithm builds decision trees.

从这些数据一种树归纳算法构建结论树.

The proposed pruning stragey reduced computational complexity of the decision tree.

提出的剪枝方案降低了决策树的计算复杂度.

Decision tree is a useful method of classification.

摘要决策树是分类的常用方法.

Therefore, the paper combines decision tree algorithm with fuzzy set theory, and proposes a fuzzy aposteriori study algorithm.

为此，本文把传统的决策树归纳学习算法与模糊集理论相结合，提出了模糊化的归纳学习方法。

This paper studies on the decision tree algorithm and its application of market segmentation.

本论文主要研究决策树的算法及其在市场细分中应用.

Application and Research of Decision Tree in Data Warehouse's ETL Process

一种决策树算法在数据仓库ETL中的应用与研究

Having no restriction of main memory and record number and attribute number of training database, the algorithm can output practice and accurate decision tree.

该算法没有训练数据库需存储于内存的限制，对训练库也没有记录个数及属性个数的限制，能生成简练、精确的决策树。

It presents data mining research in the synthesis database of microporous crystals built up by the State Key Laboratory of Inorganic Synthesis and Preparative Chemistry of Jilin University through query and decision tree.

采用数据挖掘中的查询和决策树技术对吉林大学无机合成与制备化学国家重点实验室建立的微孔晶体合成反应数据库进行了数据挖掘研究。

A Decision Tree Based Approach for Construction of Speech Database and Unit Selection

一种基于决策树模型的音库构建和基元选取方法

And lastly, the decision tree is produced using C4 5 algorithm.

最后用C45算法生成了决策树。

Then, the paper emphasizes the theory and method of Decision Tree algorithm and realizes C4. 5 algorithm.

随后，着重分析了决策树算法的理论背景以及实现步骤，并给出了C4.5算法的伪码实现。

The system uses fuzzy Bayesian algorithm, decision tree, neural network, fuzzy detection.

该系统使用模糊算法中的贝叶斯，决策树，神经网络进行模糊检测。

Among these methods, Decision Tree is one of the most universal models adopted.

在这些方法中, 决策树是采用最广泛的模型之一.