Ralph Waldo Emerson and other Transcendentalist philosophers thought schooling and rigorous book learning put unnatural restraints on children. (NETEM 2004, Text 4, Paragraph 5)
拉尔夫·瓦尔多·爱默生和其他一些先验主义哲学家认为学校教育和严格的书本学习限制了孩子们的天性。
The easiest option to handle XML, at least in terms of learning new programming techniques, is to treat it like any other piece of text returned from a server.
处理XML的最简单的选择(至少就学习新的编程技术而言)，就是用与处理服务器返回的其他文本片段相同的方法来处理它。
You can use the easy ee, but in the long run the text editor vi is worth learning.
你能够使用简单的文本编辑器ee，但是从长远来看文本编辑器vi更值得学习。
All systems that support learning should have some form of script or application that accepts the message text.
所有支持学习功能的系统都应该提供某种形式的脚本或者应用程序，而它们可用于接受消息文本。
It's all a lot harder to understand in text than in application, but the result is a flexible layout system with a rather steep learning curve.
这用语言也许很难描绘，但只要动手实践便不难理解。最后的结果是布局系统十分灵活，但学习起来却比较困难。
Because of its excellent learning ability, SVM has been applied to such fields as Text Classification, Face Recognition, and Figure Recognition.
由于其出色的学习和推广性能，支持向量机已经被应用到许多方面，例如：文本分类、人脸识别、指纹识别等等。
Text categorization is a regular problem in people daily work and an interesting research area of machine learning.
文本分类是人们日常工作中经常遇到的问题，也是机器学习的重要研究内容。
This section provides a list of all text learning functions for learners to choose from.
各单元的文字学习选单，提供互动学习的选择。
But the new method is the first to predict the outcomes of court cases by automatically analysing case text using a machine learning algorithm.
但是，这一新途径是首次通过机器学习算法自动分析案件文本，来预测法庭判决结果。
Effective dimensionality reduction could make the learning task more efficient and more accurate in text classification.
在文本分类中，有效的维数约简可以提高学习任务的效率和分类性能。
Moreover, when I can learn the text well, I find that I 'm interested in learning English.
此外，在我学好课文后，我发现我对学习英语感兴趣。
In this article we discussed filter spam methods using text categorization technologies in machine learning fields.
本文使用机器学习理论，讨论了用文本分类的方法来过滤垃圾邮件。
Based on DragPush strategy, the paper introduces a text classification incremental learning model, named ICCDP.
基于拉推策略的基本思想，该文提出了文本分类的增量学习模型ICCDP。
In this paper, some algorithms for machine learning and text mining have been researched.
本文研究了机器学习和文本挖掘的若干算法。
Microsoft offers 18 machine learning services, including face recognition, text analysis and product recommendations. More A.
微软提供18款机器学习服务，包括脸部识别、文本分析和产品推荐。
It includes text and illustrations, which support children learning to read.
它包括文字和插图，旨在为儿童学习阅读。
How could I recite a LONG LONG text without learning it?
那么长的课文，我又没学，怎么背啊？
It is widely believed that people become good readers through reading, and that learning how to read should mean a focus of attention on the meaning rather than the language of the text.
人们普遍相信，通过大量阅读才能培养出好的阅读者。学习如何阅读需将照眼点集中在阅读的意义上而非语言文字上。
To have more fun in learning English some short plays and English songs are arranged in accordance with the text.
结合课文内容排小品，唱英语歌，增加学英语的乐趣。
It turns out that to actually find text in these images, you can train a machine learning model where you give it some example data where people have drawn circles or boxes around the text.
事实证明，要想识别这些图像中的文字，你可以对一个机器学习模型进行“训练”，给它一些人们在文字周围画圈或画框的样本数据。
The enforcement of new curriculum is changing the traditional concepts of knowledge, student, learning, and thus clears up teachers' image of knowledge, text explanation, and legal authority.
新课程的实施正在使传统的知识观、学生观、学习观以及师生关系发生深刻的变化，从而消解了传统教学中的教师知识权威、文本解释权威和法定权威的形象。
To be able to handle with practical issues with machine learning methods, such as: intelligent game, natural language understanding, knowledge retrieval, image recognition and text classification;
能够运用机器学习方法来解决实际问题，如智能博弈程序，自然语言理解，知识获取，图像识别，文本分类等；
To solve these problems, based on minimizing the increment of learning errors and combining LVQ and GNG, the authors propose a new growing LVQ method and apply it to text classification.
针对这些问题，基于最小化学习误差的增量思想，该文将学习型矢量量化（LVQ）和生长型神经气（GNG）结合起来提出一种新的增量学习型矢量量化方法，并将其应用到文本分类中。
This paper proposes a method based on granularity computing to get the sentiment classification of text comments through rule learning by establishing the granule network.
提出了一种基于粒运算的方法，通过建立粒网络生成分类规则，从而得到评论文本的情感倾向分类。
SVM for text classification - tutorial on machine learning? How do I get started?
SVM文本分类的机器学习教程？我如何开始？
SVM for text classification - tutorial on machine learning?
SVM文本分类的机器学习教程？
SVM for text classification - tutorial on machine learning?
SVM文本分类的机器学习教程？
应用推荐