SVM英文翻译_SVM是什么意思_(支持向量机(Support Vector Machine)的英文)

词性释义

abbr. 智能音量管理（Smart Volume Management）；安全虚拟机（Secure Virtual Machine）；存储虚拟化管理器（Storeage Virtualization Management）；共享虚拟存储器（Shared Virtual Memory）; Solaris 存储管理（Solaris Volume Manager）

例句

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支持向量机

This kernel is proposed in this paper and is proved to be able to improve training speed and precision of the wavelet SVM.

文中提出并证明了一种新的径向基小波支持向量核，可提高小波 SVM 的训练速度和逼近精度。

SVM, as a part of the system, is now can process online filtering towards email object.

SVM 算法作为该系统的一部分，目前已经可以对邮件进行在线分类。

Experimental results show that the constructed kernels used with an SVM classifier perform better than the existing sequence-based methods.

实验结果表明使用我们构造的核函数的支持向量机可以取得比现有的基于序列的方法更好的结果。

The purpose of this paper is to build up a detection model by using SVM-based fuzzy inference system for the impulse noise in an image.

针对图像上的脉冲噪声，用基于支持向量机的模糊推理方法建立噪声检测模型。

The SVM algorithm is adopted for the traffic classification, since the minor one included in a combined traffic is generally small sampling.

考虑到混合流量中的次要数据流通常是小样本，选用支持向量机（SVM）算法进行流量分类。

Due to its complete theoretical basis as well as excellent performance, SVM has become a hotspot in the area of pattern recognition.

由于具有完备的理论基础和良好的性能，支持向量机已经成为模式识别的一个研究热点。

The application of a SVM ensures both the classification accuracy and the strong robustness of the system.

支撑矢量机的应用使系统在保证精确判断的前提下具有较强的鲁棒性。

Continuous valued attributes were discretized by a linear SVM, the hyperplanes being used to locate the discrete points in attribute space.

利用 SVM 对连续的属性值进行离散化处理，以线性 SVM 的分类超平面确定属性值的断点位置；

Especially, SVM based relevance feedback greatly improve the performance of retrieval system with its good generalization.

特别是基于支持向量机的相关反馈，由于具有良好的泛化能力，因而进一步提高了检索性能。

This determination is carried out on-line for the coming new samples. This makes the solutions of LS-SVM having the feature of sparsity.

随着新样本的到来，在线判别支持向量，使 LS-SVM 的支持向量具有稀疏性。

The experiment showed that the accuracy and speed of the covering algorithm is better than that of SVM.

通过分类实验表明，覆盖算法的准确性和网络训练速度都大大高于 SVM。

To this problem, this paper proposed one kind of method to choose the parameters of the SVM by particle swarm optimization algorithm (PSO).

针对此问题，提出一种基于粒子群优化算法的支持向量机参数选择方法。

The result shows the feedback learning can greatly improve the categorization performance of SVM and is an effective. . .

结果表明，反馈学习对分类性能的提高有明显作用，它是对实时变化信息的有效解决方法。

The SVM based color image restoration algorithm is extended and can be applied to restore sequential images.

该算法扩展了基于支持向量机的彩色图像复原算法。

The accuracy of classification of SVM in a two-class classification problem would be decreased because of those promiscuous samples.

支持向量机在处理两类分类问题时，当两类样本混杂严重时会降低分类精度。

SVM kernel function is one of the most critical factors that affect the recognition rate.

SVM 核函数是众多影响识别率因素中最明显的。

The experimental result shows that the SVM classifier can be applied in stratum recognition effectively, and then widely used in the future.

试验表明：SVM 分类器应用在地层识别中效果良好，而且具有广阔的应用前景。

Finally, a mathematic model for a typical mechanical position servo system with friction model by LS-SVM is established.

最后，以典型机电位置伺服系统为研究对象，建立基于 LS-SVM 摩擦补偿的机电伺服系统模型。

We proposed a sort of string kernels which derived from MM-SVM synthesis model.

提出一类从马氏过程得到的串核函数。

In the modeling of structure, the hybrid kernel was applied, and the genetic algorithm was used to optimize the parameters of SVM.

在模型构造中，采用混合核函数，并利用遗传算法优化混合核函数支持向量机参数。

In training a SVM, the solution of a quadratic programming (QP) problem constrains the SVM in large scale problem.

在 SVM 训练过程中，二次规划问题的求解制约着 SVM 应用于大规模数据。

Recent enhancements to SVM include support for multiterabyte volumes, cluster volume manager, and thousands of partitions per physical disk.

最近对 SVM 进行的增强包括支持 Multiterabyte 卷和 ClusterVolumeManager，以及支持在每个物理磁盘上划分数千个分区。

SVM have been widely used in steganalysis, for its convenience and high performance.

支撑向量机以其易用性和高性能广泛用于隐藏检测。

The support vector machine(SVM)combined with the k-nearest neighbor(KNN)algorithm is applied to solar proton event prediction.

应用支持向量机和 k 近邻相结合的方法，建立了太阳质子事件预报模型。

A full-electric propulsion ship is chosen as a research object, and an improved SVM method is used to forecast its power load.

本文以全电力推进船舶为研究对象，应用改善的支持向量机（SVM）策略对其进行电力负荷预测。

Experimental results show remarkable improvement on classification ability and classification speed of SVM, supporting this idea.

理论分析和实验研究表明，该方法能够有效提高 SVM 的分类能力和分类速度。

1·It also discusses the primary processing and recognition diagram of SVM applied to face recognition.

还讨论支持向量机用于人脸识别的主要处理流程和识别框图。

2·Then, we implement classification modeling and forecast based on SVM.

然后基于支持向量机进行分类建模和预测过程。

3·Experiments show that the method reflects the features of human faces very well and using SVM to classify profile features is an effective method for detecting human face.

实验表明：轮廓特征能较好的反映人的脸部特征，用支持向量机对轮廓特征进行分类的方法来检测人脸是有效的。

4·Then, we realize classification modeling and forecasting test based on SVM.

然后基于支持向量机进行分类建模和预测。

5·SVM can deal with nonlinear problems in classification and Regression easily by using kernel functions.

通过引入核函数，支持向量机可以很容易地实现非线性算法。

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更新时间：2025-05-06 10:30