• 不要分辨善恶知识的果实。

    Don't eat of the tree of the knowledge of good and evil.

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  • 为什么知识

    Why called knowledge tree?

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  • 知识,从它那看来苦涩的根却长最甜美果实

    The tree of knowledge, even if it seems to have rather bitter roots brings forth the sweetest possible fruit.

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  • 提到生命,一棵分辨善恶知识接着重点讲分辨善恶的知识树

    It mentions a tree of life and the tree of the knowledge of good and evil; then goes on to just focus on the tree of the knowledge of good and evil.

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  • 提出知识概念用于所获得知识管理,设计并实现数学知识获取管理平台

    In order to manage the knowledge acquired, we develop the knowledge editor and management environment, in which an idea of knowledge tree is contained.

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  • 我们认为有些专家学者语文课程知识构建没有超越知识”式的建构思维

    We hold that some scholars and experts have not surmounted the pattern of knowledge Tree when looking at the construction of knowledge on Chinese language learning.

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  • 只是能使人分别善恶(或译∶好坏)知识果子不可因为你吃的日子、你一定

    But of the tree of the knowledge of good and evil, thou shalt not eat of it: for in the day that thou eatest thereof thou shalt surely die.

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  • 知识学习过程中,系统根据知识知识序列关系从中选出学习者要学习的知识点,最适合学习者个性特征的个性化方式呈现

    During the learning, the system selects the knowledge point from the knowledge tree according to the sequencing and shows it by a personalized mode.

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  • 一些认为喉结一个苹果喉咙形成结块一样,而亚当吃了知识果实

    Some people say that it is a reference to the fact that it looks like of like a chunk of apple stuck in the throat, so the name is linked with Adam's consumption of the Fruit of the Tree of Knowledge.

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  • “这是不是说”,有些困惑地,“为了回归纯真状态我们必须再次食用知识果实呢?”

    "Does that mean", I said in some bewilderment, "that we must eat again of the tree of knowledge in order to return to the state of innocence?"

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  • 曾经我们未曾分享特殊,一棵知识

    There was a particular tree of which we were not to partake, a tree of knowledge.

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  • 人是可能指挥成百上千万的实际知识聚集一起来的,就不可能分子聚合一起造出一棵一样。

    Man can no more direct these millions of know-hows to bring me into being than he can put molecules together to create a tree.

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  • ICMRME知识表示为节点每个节点包含统计学知识规则用来帮助系统文本进行分类。

    An ICM RME KB is represented as a tree of nodes, with each node containing statistical knowledge or rules that assist the system in classifying text.

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  • 知识人,其生命如同叶子缺少勃勃生机

    Without knowledge, life like a tree without the leaves, the lack of vitality.

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  • 成功发布之后分类法知识库形式(只有结构)提供给ICM可以OmniFind中目录形式浏览它们

    After successful publication, the taxonomy is available as a KB (structure only) for ICM and as a category tree that can be browsed in OmniFind.

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  • 学位基于生物化学物理扎实知识同样需要对诸如病理灭火特别林业学科的掌握。

    A degree in this field is based on a sound knowledge of biology, chemistry, and physics, as well as particular forestry subjects such as tree pathology and fire suppression.

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  • 关于相关知识算法适合学习数据结构和算法的朋友欢迎下载

    On the tree of knowledge and algorithms for learning data structures and algorithms friends are welcome to download!

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  • 多值偏向可能导致数据集中归纳出错误知识,使决策性能下降

    Multivalue BIOS may result in inducing wrong knowledge from data set, and consequently result in the decline of the performance of decision tree.

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  • 知识一致性检查器(KCC)无法建立跨越拓扑

    The Knowledge Consistency Checker (KCC) was not able to build a spanning tree topology.

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  • 基于ID 3算法决策归纳学习归纳学习的一个重要分支用于知识自动获取过程

    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.

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  • 中,将在一个更多内容应用-英雄指南上使用从aot编译优化学到知识

    In this section you apply what you've learned about AOT compilation and Tree Shaking to an app with more substance, the tutorial Tour of Heroes.

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  • 这个过程中,应用了决策归纳学习的优化原则,使得生成的决策能最简洁准确描述神经网络学到知识

    In the process of constructing tree, three optimization principles are adopted to concisely and accurately describe the knowledge that the networks have learned.

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  • 实验方法分析决策算法中的多值偏向问题传统方法缺点需要具备数据领域专家知识

    Experiment is the traditional method for analysing multivalue BIOS of decision tree algorithm, but it has a fault that we must have the expertise of the specific field.

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  • 实验方法分析决策算法中的多值偏向问题传统方法缺点需要具备数据领域专家知识

    Experiment is the traditional method for analysing multivalue BIOS of decision tree algorithm, but it has a fault that we must have the expertise of the specific field.

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