What is the translation of " SUPPORT VECTOR " in Chinese?

• 支持向量
• support vector

Examples of using Support vector in English and their translations into Chinese

Logistic Regression Support Vector Machine.
逻辑回归支持矢量.

Support vectors are the data points that lie closest to the decision surface.
支持向量是最接近决策表面的数据点。

These are called support vectors.
这些点，就叫做supportvector。

Finally the support vectors are shown using gray rings around the training examples.
最终支持向量由训练数据周围灰色的圆环表示。

Those are called the support vectors.
这两个点就叫做SupportVector。

Transductive support vector machines were introduced by Vladimir Vapnik in 1998.
转导支持向量机由VladimirN.Vapnik于1998年提出。

These points are called support vectors.
这两个点就叫做SupportVector。

We fit the support vector classifier.
我们先从supportvectorclassifier谈起。

These points are called the support vectors.
这些点，就叫做supportvector。

It is called Support Vector Regression(SVR).
这种形式叫做SupportVectorRegression（SVR）primal。

Why does SVM need to maximize the margin between support vectors?
为什么SVM需要在支持向量之间最大化边缘？?

This opens up the opportunity to use support vector machines in any aspect of your trading.
这样就为您交易的方方面面都使用支持向量机创造了机会。

Support vector machines have been used in a variety of classification and regression applications.
支持向量机被用于一系列的分类和回归的应用中。

When I was waking up at 6 AM to study Support Vector Machines I thought:"This is really tough!
当我早上6点起床学习支持向量机时，我想到：“这真的很难!

Support Vector Machines have an excellent statistical learning theory and are easy to intuitively understand.
SupportVectorMachines具有优秀的统计学习理论，易于直观理解。

When I was waking up at 6 AM to study Support Vector Machines I thought:"This is really tough!
当我早上6点起床去学习支持向量机时，我想：“这真的是太难了。!

With appropriate pre-processing, it is competitive in this domain with more advanced methods including support vector machines.
通过适当的预处理，它可以与这个领域更先进的方法（包括支持向量机）相竞争。

Some, like the support vector machine folks, might even object to being brought under such an umbrella.
一些人，比如支持向量机的支持者甚至可能会反对将自己归入这个范畴。

A final alternative is to use kernelized models such as support vector regression with a polynomial kernel.
另外一种方法是使用核方法模型，如支持向量回归和多项式核。

We now extend support vector machines to regression problems while at the same time preserving the property of sparseness.
我们现在将支持向量机推广到回归问题，同时保持它的稀疏性。

It might be a very fancy calculator such as R, Matlab, Mathematica, or a even C library for support vector machines.
有一个充满相象的计算器比如R，Matlab，Mathematica，甚或是支持向量机的C语言库。

Support vector machines are powerful tools, but their computation and storage requirements increase rapidly with the number of training vectors..
支持向量机是一种强大的工具，但是它们的计算和存储需求随着训练向量的增加而迅速增加。

Compare approaches such as logistic regression, classification trees, support vector machines, ensemble methods, and deep learning.
比较各种方法，例如逻辑回归、分类树、支持向量机、集成方法和深度学习。

That's because for applied machine learning, you're usually not thinking,“boy do I want to train a support vector machine today!”.
这是因为，在使用机器学习的时候，你不会这么去想：“我今天想训练一个支持向量机出来！”.

Other popular methods included Bayesian networks, the support vector machine and evolutionary algorithms, all of which use different approaches to finding patterns in the data.
另外一些流行的技术包括贝叶斯网络、支持向量机和进化算法，所有这些技术都采用了不同的方法来查找数据中的模式。

Another reason is that popular algorithms for classification such as logistic regression and support vector machines are written in Cython.
另一个原因是流行的分类算法，如逻辑回归和支持向量机是用Cython编写的。

LIBSVM 3.0- LIBSVM is an integrated software for support vector classification,(C-SVC, nu-SVC), regression(epsilon-SVR, nu-SVR) and distribution estimation(one-class SVM).
WEBWEBLibsvm是一个整合了支持向量机(C-SVC,nu-SVC)、回归、分布估计(one-classSVM)的软件。

The current state-of-the-art methods include approaches such as Naive Bayes, Support Vector Machines, and Maximum Entropy.
当前最先进的技术包括NaiveBayes、SupportVectorMachines以及MaximumEntropy。

Sequential minimal optimization: A fast algorithm for training support vector machines.
关于SMO最好的资料就是他本人写的《SequentialMinimalOptimizationAFastAlgorithmforTrainingSupportVectorMachines》了。