This paper starts from the definition and classification of learning strategies. The purpose of this study was to explore the relationship between learning strategies, SLA and individual differences.
在众多的二语习得课题中，有关学习者学习策略的研究就是其中很重要的一个领域。
Digit recognition, once again, is a common example of classification learning.
数字识别再一次成为分类学习的常见样本。
Notice something important here: in the classification problem, the goal of the learning algorithm is to minimize the error with respect to the given inputs.
请注意这里提到的一个问题：在分类问题中，学习算法的目标是把给定输入中的错误最小化。
Although I don't have a ton of memories from my childhood, I distinctly remember being in elementary school and learning about animal classification.
虽然我没有关于童年的太多记忆，但是我清晰的记得我在小学的时候学习动物分类的事情。
This would be an example of unsupervised learning in a classification context.
这将在后面成为无监督学习上下文分类的一个例子。
But this kind of learning can be powerful because it assumes no pre-discovered classification of examples.
不过这一类学习可能会非常强大，因为它假定没有事先分类的样本。
Spam filtering programs using A.I. learning and classification techniques correctly identify over 99.9% of the 200 billion spam e-mails sent each day.
垃圾邮件过滤程序使用基于人工智能的学习和分类技术，每天从所有邮件里鉴别出2000亿封垃圾邮件中的99.9%。
The proficiency in classification and selection of Sol-fa and the mastery over training methods and steps of intonation are fundamental prerequisites for learning solfeggio.
对唱名法的分类与选择、音准的训练方法与步骤等内容的熟练掌握是学习视唱练耳的基本前提。
The experiment results show that the proposed approach has the merits of high learning efficiency, high classification accuracy and high generalization capability.
实验结果表明，所提出的方法具有学习效率高、分类准确率高、泛化能力高的优点。
And classification is the basis of the common Machine Learning problem.
分类是许多机器学习问题解决的基础。
The experimental results show that the feedback learning can greatly improve the performance of SVM classification.
实验结果表明，反馈学习具有明显提高SVM分类性能的能力。
The rough set concept can be of some importance, primarily in some branches of artificial intelligence, such as reasoning, automatic classification, pattern recognition, learning algorithms, etc.
粗糙集理论最初在人工智能的某些分支，例如推理，自动分类，模式识别，学习算法等的研究中是很重要的。
Then in allusion to these two important factors, a concept of incremental learning and a loss extent parameter are put forward in this paper, and Native Bayesian Classification.
文中针对该算法这两个最主要的缺陷，提出增量学习概念，引入损失幅度参数，改进和完善朴素贝叶斯分类算法。
Support vector machines (SVM) are a kind of novel machine learning methods, based on statistical learning theory, which have been developed for solving classification and regression problems.
支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。
Ensemble learning is a research hotspot in machine learning, which can improve generalization performance of classification algorithm.
集成学习是当前机器学习的一个研究热点，它可以提高分类算法的泛化性能。
During the preprocessing of classification, it is important to select feature subset effectively, in order to classification learning and predicting.
在分类挖掘的预处理过程中，重要的是如何选择最有效的特征子集，以便于分类学习与预测。
General regression neural network is proved with certain superiority in the ability of approaching, classification and learning speed.
广义回归神经网络在逼近能力、分类能力和学习速度方面具有较强优势。
Experiment shows neural network classifier that is optimized by algorithm could not only have fast learning speed but also ensure accuracy of classification.
实验结果表明：算法优化后的神经网络分类器不但学习速度快，还能保证分类精度。
Support vector machines (SVM) are a kind of novel machine learning methods based on statistical learning theory, which has been developed to solve classification and regression problems.
支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。
This article firstly discusses definition and classification of anxiety from the perspective of psychology and foreign language learning.
本文首先从心理学和外语学习的角度，探讨了焦虑的定义及分类。
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。
The artificial neural network has the character of express arbitrary nonlinear mapping, thus, it works very well in operating classification and learning, and its tolerant errors as well.
人工神经网络具有表达任意非线性映射的特性，从而在分类、学习和容错方面表现了较好的能力。
Supervised learning with the use of regression and classification networks with sparse data sets will be explored.
也将在课程中以带有稀疏值理论的分类神经网路与回归的使用来探讨监督式学习。
It still expounds the connotation and the classification of language learning and analyses the characteristics of the multi-media English learning.
研究者阐述了语言学习策略的内涵和分类，分析了多媒体英语学习的特征。
Two test data from UCI machine learning repository are employed to evaluate the usefulness of WSVDD, as well as logo classification task.
用UCI机器学习数据集的两个数据和图标分类的实验验证了WSVDD的有效性。
According to the Chinese medicine profession the basic characteristics of English, in the learning process, to be used in root law, classification, comparison and synthesis method.
根据中医专业英语的基本特点，在学习过程中，可采用词根法、分类法、比较法和综合法。
According to the basic characteristics of English for TCM purpose, We may take the method of roots, classification, comparison and synthesis during the learning process.
根据中医专业英语的基本特点，在学习过程中，可采用词根法、分类法、比较法和综合法。
Of course you have all used different methods of learning: in biology, you should memorize the structure of biological classification;
你对各门课程所采用的学习方法不尽相同：在生物学中，你应该熟记生物的结构、分类；
Laboratory studies of category acquisition limit to categorization task. So category theory on the basis of classification study can not applied to other nonclassification types of category learning.
实验室有关范畴学习的研究只局限于对分类的研究上，这就导致在分类研究基础上提出的范畴理论不能适用于其他非分类范畴学习任务。
The classification and features of digitalized language Lab, and its application in foreign language teaching and learning are briefly introduced.
介绍了数字化语言实验室的分类及特点，探讨了数字化语言实验室在外语教学中的应用。
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