decision trees发音

意思翻译

决策树

相似词语短语

decision───n.决定，决心；决议

trees───n.树木；[植]乔木；[化学]树状结构（tree的复数）；n.(Trees)人名；(德)特雷斯；(英)特里斯

decision tree───决策图表，分层次决策；决策树，决策图表

decision support───决策支持；[计] 判定支持

informed decision───知情决策

wrong decision───错误的决定

cherry trees───樱桃树

decision hq───决策总部

dissents decision───异议决定

双语使用场景

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。

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。

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 algorithm of decision trees is well known due to simpleness and easy to realize in machine learning.───在各种机器学习算法中，决策树以其简单容易实现等特点被认可。

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。

Experiments show that the proposed method raises the predictive precision of decision trees while it greatly reduces the computational cost.───仿真试验表明，该算法在大大减少了计算代价的同时提高了决策树的分类精度。

Decision trees can be used for prediction.───决策树可用于进行预测。

The Microsoft Decision Trees algorithm creates models that can be used to predict whether someone will purchase a bicycle.───Microsoft决策树算法创建的模型可用于预测某人是否将购买自行车。

英语使用场景

In this paper, we use decision trees for Chinese noun phrase coreference resolution.

The scope of possibility ranges from a textual description (using a rule specific language or plain English) to the use of decision tables or decision trees.

A new heuristic function to build decision trees based on variable precision rough set is proposed.

Decision trees have standard symbols: squares symbolize decision points, and circles represent chance events.

Therefore, individual - preference curves should be substituted for statistical probabilities in decision trees.

Deterministic decisions where rules can be described in "if then" constructs, decision tables or decision trees.

Decision trees provide an alternative representation of sequential if-then rule sets.

By the method of learning from examples, DKAS inductively acquires knowledge, in representation of decision trees, from large amount of experience data.

From these data a tree induction algorithm builds decision trees.