1、The number of the alternatives of the decision tree is implicit.
決策問題中所含的方案數(shù)量在決策樹中是隱性的。

2、I'm using the term decision tree here loosely.
在此，我較為隨意地使用術(shù)語決策樹。

3、Application of Decision Tree Classification to Peking Land Cover
采用決策樹分類技術(shù)對(duì)北京市土地覆蓋現(xiàn)狀進(jìn)行研究

4、Decision tree is a useful method of classification
摘要決策樹是分類的常用方法。

5、Decision tree is a useful method of classification.
摘要決策樹是分類的常用方法。

6、Decision tree learning is one of the widely used and practical methods for inductive inference.
決策樹學(xué)習(xí)是應(yīng)用最廣泛的歸納推理算法之一。

7、Minimum entropy is chosen as a heuristic strategy in decision tree learning algorithm such as ID3.
決策樹的學(xué)習(xí)算法，比如id3算法，選用最小信息熵作為啟發(fā)式信息。

8、An Application of Probabilistic Decision Tree in Bioinformatics Database
概率決策樹在生物信息數(shù)據(jù)庫中的一個(gè)應(yīng)用

9、Application of ata etract based on decision tree technology
基于決策樹技術(shù)數(shù)據(jù)提取的應(yīng)用

10、An MSS spectral form correlation model and a histogram decision tree classifier are presented.
本文提出MSS數(shù)據(jù)波譜形態(tài)相關(guān)模型和直方圖決策樹分類法。

11、Figure 1 Outlines the basic decision tree here.
圖1給出了基本的決策樹。

12、For the special order products stock, the decision tree was introduced.
針對(duì)特殊定單產(chǎn)品的庫存問題，介紹了決策樹法。

13、The third step in the decision tree asks if the package is extensible as opposed to customizable.
這個(gè)決策樹中的第三步就是詢問數(shù)據(jù)包是否可擴(kuò)展，這和定制性剛好相反。

14、Study on Text Categorization Based on Decision Tree and K Nearest Neighbors
基于決策樹和K最近鄰算法的文本分類研究

15、Should you use a rule set or a decision tree to define a group of rules?
您應(yīng)該使用規(guī)則集或決策樹來定義一組規(guī)則嗎？

16、What's the complexity of this decision tree solution?
決策樹解決方法的復(fù)雜度是多少？

17、Research on the influence of decision tree structure on speaker adaptation
決策樹結(jié)構(gòu)對(duì)說話人自適應(yīng)影響的研究

18、The thesis researches an algorithm based on decision tree classifier for packet filtering.
本文提出了一種基于決策樹分類器的數(shù)據(jù)包分類算法。

19、A hierarchical decomposed support vector machines binary decision tree is used for classification.
采用一種層次分解的支持向量機(jī)二叉決策樹進(jìn)行分類識(shí)別。

20、A method for constructing multiway decision tree based on quantized feature values is proposed.
本文提出一種基于特征量化值(區(qū)間值，離散值或符號(hào)值)的多元分類樹的構(gòu)造方法。

decision tree翻譯