classification tree的意思|示意
分级树
分类树
classification tree的用法详解
Classification Tree is a popular way of categorizing English words. It is a hierarchical structure that divides words into different groups according to certain criteria. The classification tree consists of two main components: the root node, which defines the base-level categories, and the branches, which represent other detailed levels of information.
The root node in the classification tree is usually the most general category. It can be used to determine the type of word, such as a verb, noun, adjective, adverb, etc. From the root node, different branches can be drawn to represent more specific categories of words. For example, a branch for verbs might be divided into action or state verbs, or a branch for nouns might be divided into proper nouns, count nouns, and collective nouns.
In addition to being a useful tool for categorizing words, the classification tree can also be used to create word lists. By starting from the root node, users can systematically make their way down the tree, making a list of words as they go. This word list can then be used for a variety of tasks, such as learning new words or studying for a test.
Overall, the classification tree is a great way to organize English words and make them easier to understand. It helps users quickly identify the type of word they’re looking at, as well as create comprehensive lists of words they need to learn.
classification tree相关短语
1、 Classification tree method 分类树方法,方法
2、 Classification Tree Algorithm 分类树算法
3、 Recursive Classification Tree 递归分类树法,递归分类树,又将递归分类树法
4、 Product Family Classification Tree 采用产品族分类树,产品族分类树
5、 classification tree model 分类树模型
6、 binary classification tree 二分决策树
7、 binary-classification tree 二分决策树
8、 Pattern Classification Tree 模式分类树
9、 classification tree induction 分类树归纳
classification tree相关例句
An approach for generating test cases from formal specification and the classification - tree method is presented.
介绍了一种基于形式规格说明和分类树方法生成软件测试用例的方法.
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Classification tree ap plication in credit risk analysis as a statistic - based pattern recognition comp ut er - technique.
递归分类树是计算机实现,基于统计理论的非参数的识别技术.
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