Wit without learning is like a tree without fruit.
没有学识的机智，犹如没有果实的树。
We'll discuss validation sets when we look at decision trees because they are a common optimization for decision tree learning.
当我们在后面具体提及决策树时，将会进一步讨论验证集，因为它通常是决策树学习的最优选择。
I've been learning English since I was ten, but I can never say I'm at the top of the tree.
我从十岁就开始学英文，可我永远都不能说我已经到了炉火纯青的地步。
On the tree of knowledge and algorithms for learning data structures and algorithms friends are welcome to download!
关于二叉树的相关知识和算法，适合学习数据结构和算法的朋友，欢迎下载！
The decision tree (or rules) used for rail deformation detection was generated by learning the train data.
通过对训练数据的学习，生成用于轨道故障判决的决策树(或者规则)。
Decision tree learning is one of the widely used and practical methods for inductive inference.
决策树学习是应用最广泛的归纳推理算法之一。
Wit without learning is like a tree without fruit.
有天资而无学识，好比树木不结果实。
But you will see the fruit from the tree of learning at the moment when you least expect it.
但是你会看到从此刻学习时你最不希望它树上的果子。
Comes to language learning, it must be educated as a fertile ground for the language tree seedlings to provide nutrition.
谈到语言的学习，就必须有文化作为肥沃的土壤为语言这棵苗木提供营养。
Induction learning of decision tree based on ID3 algorithm is an important branch of inductive learning now, which can be used to automatic acquisition of knowledge.
基于ID 3算法的决策树归纳学习是归纳学习的一个重要分支，可用于知识的自动获取过程。
ID3 algorithm is the most basic algorithm in the decision tree learning, and has a wide application.
ID 3算法是最基本的决策树学习算法，有很广的应用。
A man of practice whose subjective condition is sane and steady, such as Ziqi, should prepare mentally for learning the way of big tree survive.
一个主观条件健全，坚实如子綦的修行人，他在企图学习那棵大树的求生之道前，也必须要有一定的心理准备。
Simplifying trees is the key part of decision tree induction learning.
树的简化是决策树归纳学习中关键的部分。
During the learning, the system selects the knowledge point from the knowledge tree according to the sequencing and shows it by a personalized mode.
在知识学习过程中，系统根据知识树中知识点的序列关系从中选出学习者要学习的知识点，并以最适合学习者个性特征的个性化方式呈现。
Comparing with Decision Tree algorithms, this system chooses the C4.5 to realize the self-learning module.
通过对决策树分类算法的比较，本文采用C4.5决策树算法实现自学习模块。
Minimum entropy is chosen as a heuristic strategy in decision tree (DT) learning algorithm such as ID3.
决策树的学习算法，比如id3算法，选用最小信息熵作为启发式信息。
Based on decision tree combined strategy and multiple kernel learning support vector machines, a new fault diagnosis method is proposed to improve the precision and speed of fighter fault diagnosis.
为了提高歼击机故障诊断的准确性与实时性，提出一种基于决策树型组合策略的多重核学习支持向量机诊断方法。
The decision tree method is the effective method of detecting for concept describing space and the representative learning way in exampling learning of which specially dispose mass object.
决策树方法是发现概念描述空间的一种特别有效的方法，是实例学习中具有代表性的学习方法，专门用于处理大量对象。
In this paper, a new method which combines unsupervised and supervised learning strategy is put forward to construct the multi classification decision tree.
提出了一种融合无监督和监督两种学习策略生成多分类决策树的方法。
Decision tree is a basic learning method in machine learning and data mining.
决策树是机器学习和数据挖掘领域中一种基本的学习方法。
Decision tree learning strategy have long been popular in pattern recognition, machine learning, and other disciplines for solving problems concerned with the classification.
决策树学习策略广泛应用于模式识别和机器学习等领域，用来解决与分类相关的问题。
Based on this, the model of "the learning organization culture tree" is put forward.
基于此，本论文提出了“学习型组织文化树”模式。
Decision tree is an important method in induction learning as well as in data mining, which can be used to form classification and predictive model.
决策树是归纳学习和数据挖掘的重要方法，通常用来形成分类器和预测模型。
Using teacher images and machine learning method, an image direction classification model is built as a decision tree. Test results argued the validity of this method.
实验结果表明，系统所使用的轮廓线向量图像特征也能够较有效地应用于图像方向分类，而机器学习则能够有效地为之建立决策树分类模型。
And it introduces some algorithms of decision tree learning such as ID3, C4.5 and feature subset selection of Inductive learning.
介绍了归纳学习中的决策树学习算法如id3、C4.5和特征子集选择问题。
A new parallel learning method of the decision tree is proposed in this paper.
提出一种并行的决策树学习方法。
Rough Set and Decision Tree, usually used to analyze the data and the formation of predictive models, are important methods of knowledge discovery and learning.
粗糙集和决策树是知识挖掘和学习的重要方法，通常用来分析数据和形成预测模型。
BURTON: One Tree Hill was a great learning opportunity for me, and I'm excited to go and apply that elsewhere and see where I end up. I'm hoping the fans support whatever my next endeavor is.
出演oneTreeHill对我来说是一个非常宝贵的学习机会，我也很兴奋能把我在此学到的东西运用到别处，看最后能干出个什么。
The rule based expert system, which regarded the decision tree as the learning mechanism has the characteristic of comprehensible flexible and constructed rapidly.
以决策树作为学习机制构建以规则为中心的专家系统，具有易理解性、灵活性，构造速度快等特点。
The rule based expert system, which regarded the decision tree as the learning mechanism has the characteristic of comprehensible flexible and constructed rapidly.
以决策树作为学习机制构建以规则为中心的专家系统，具有易理解性、灵活性，构造速度快等特点。
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