除了机器分类，还应作一表格列出所有机器和附加类别，如。
In addition to machine category, create a table listing all machines and additional categories, such as.
每个系统管理员都用某些方法来对他的机器分类，通常根据上述各项以及更多项(我们稍后将详细讨论类)。
Every sysadmin classifies his machines by some means, usually by all of the above and more (we'll talk more about classes later).
猎星人计划的灵感来源于星系动物园计划。星系动物园计划成立于2007年，旨在帮助科研人员将哈勃望远镜观测到的星系分类——正是那种机器无法胜任而对于人类轻而易举的麻烦活。
Planet Hunters grew out of Galaxy Zoo, which was set up in 2007 to help researchers classify galaxies spotted by hubble-just the sort of fuzzy task that machines struggle with but humans excel at.
基于计划、所有者，和机器的执行状态报告都显示了带有被划分为六种彩色编码的分类的数据的图表。
Execution status reports by plan, owner, and machine each display charts with data that is divided into six color-coded categories.
解决之道：孙剑开发了一种方法，能够简便的获取可用于机器训练的分类图片。
Solution: Sun developed a way to make it easy for humans to train computers in picture classification.
系统会自动将文件根据用户分类，你可以对被同步到机器上的文件进行任何操作。
The system automatically separates out users in to their own folders, and you can do basically whatever you want with the files once they've been synced to your machine.
制造的部件的目标机器名称—由分类符号M表示。
Machine name for which the part is manufactured - Donated by classification symbol m.
同样，对于机器学习算法，一个通常的问题是过适合(原文为over -fitting，译者注)数据，以及主要记忆训练集，而不是学习过多的一般分类技术。
Similarly, with machine learning algorithms, a common problem is over-fitting the data and essentially memorizing the training set rather than learning a more general classification technique.
Amazon提供几种不同类型的机器并根据它们的CPU、内存和磁盘配置文件分类。
Amazon offers several different types of machines and classifies them by their CPU, memory, and disk profiles.
除了园区废料与食物废料之外，城市所有的街道可回收品在一个有20万平方英尺的工厂里进行分类，这个工厂由许多机器与155个人力资源组成。
With the exception of garden and food waste, all the city's kerbside recyclables are sorted in a 200, 000-square-foot facility that combines machines with the manpower of 155 employees.
除了园区废料与食物废料之外，城市所有的街道可回收品在一个有20万平方英尺的工厂里进行分类，这个工厂由许多机器与155个人力资源组成。
With the exception of garden and food waste, all the city's kerbside recyclables are sorted in a 200,000-square-foot facility that combines machines with the manpower of 155 employees.
原因是，在ClearQuest 7.0版本之前ClearQuest中的这个数据库连接是依赖于一个DB 2客户端的，这里的数据库信息被在一个本地机器上被分类，用作连接之用的。
The reason is that, before ClearQuest 7.0, the database connection in ClearQuest depended on a DB2 client, where the database information was cataloged to a local machine for connecting.
语义网的最初目的是，通过meta属性和分类给网页添加注释，从而让机器可以解读文本，并建立相关语境。
Initially, the aim of the Semantic web was to invisibly annotate web pages with a set of meta-attributes and categories to enable machines to interpret text and put it in some kind of context.
机器按任务、位置、连通性、用户、操作系统类型和版本等分类。
Machines are classified by task, location, connectivity, users, operating system type and version, and so on.
震耳欲聋的机器声从开敞的门处传来，一台设计巧妙的传送带和旋转器将腰果按大小分类并将他们输送至麻袋。
A deafening rattle comes from the machine by the open door, a green contraption of conveyors and rotating metal drums that sorts cashews by size and drops them into sacks.
如何针对某个分类问题决定使用何种机器学习算法？
How do you know what machine learning algorithm to choose for your classification problem?
用这些特征构成句子向量表示，并用机器学习的方法对其进行训练得到器，从而把自动文摘转换为分类问题。
There are eight features used to form the feature vector for each sentence, and the summarizer is gained by machine learning algorithms, so automatic summarization is changed into classification task.
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? How do I get started?
通过展示有机器官，自然物体和我们构建的物质世界之间的相似与差别，Piccinini改变了我们在生活中绝对的分类方式。
By displaying the similarities and differences between the organic, natural and our constructed material world, Piccinini challenges our classification of life.
这种扫描仪可以指导分类机器将损坏的苹果从好苹果中分离出来。
The scanner can direct a sorting machine to separate the bad apples from the good ones.
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。
Two test data from UCI machine learning repository are employed to evaluate the usefulness of WSVDD, as well as logo classification task.
分类器网络正成为机器视觉系统的基础。
Classifier networks are becoming the basis of machine vision systems.
论文将支持向量机的机器学习方法引入到医学图像的分类问题。
In this thesis, SVM as a new machine learning method is brought into medical image classification.
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。
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.
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。
Ensemble learning is a research hotspot in machine learning, which can improve generalization performance of classification algorithm.
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。
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.
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。
Decision tree learning strategy have long been popular in pattern recognition, machine learning, and other disciplines for solving problems concerned with the classification.
分类是许多机器学习问题解决的基础。
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。
And classification is the basis of the common Machine Learning problem.
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