Support vector machine (SVM) is a new learning machine based on the statistical learning theory.
支持向量机是一种基于统计学习理论的新型机器学习方法。
Support vector machine constructs an optimal hyperplane utilizing a small set of vectors near boundary.
支持向量机利用接近边界的少数向量来构造一个最优分类面。
Support vector machine (SVM) is a new generation machine learning technique based on the statistical learning theory.
支持向量机(SVM)是基于统计学习理论的新一代机器学习技术。
The support vector machine is a learning algorithm, which has a good classification ability for limited training samples.
支撑矢量机是一种能在训练样本数很少的情况下达到很好分类推广能力的学习算法。
Support vector machine (SVM) is a new machine learning technique.
支持向量机(SVM)是一种新型的机器学习方法。
Automatic video caption location based on support vector machine.
基于支持向量机的视频字幕自动定位方法。
The applications of support vector machine are reviewed in DNA microarray.
就支持向量机在DNA微阵列的应用做一综述。
A laser welding quality monitoring method is proposed, based on support vector machine.
提出了一种基于支持向量机的激光焊接质量监测方法。
Validating the effectiveness of support vector machine for handwritten digit recognition.
验证支持向量机用于手写数字识别的有效性。
The prediction method of network delays based on support vector machine (SVM) was put forward.
进而提出了基于支持向量机(SVM)的网络延时预测方法。
A network traffic anomaly detection mechanism is presented based on support vector machine (SVM).
提出了一种基于支持向量机的网络流量异常检测方法。
The support vector machine(SVM) is a new learning technique based on the statistical learning theory.
支持向量机（SVM）是根据统计理论提出的一种新的学习算法。
A new method of infrared spectrum analysis based on support vector machine for mixture gas was proposed.
介绍了一种基于支持向量机的混合气体红外光谱组分浓度和种类分析的新方法。
An adaptive inverse control method based on Least Squares support vector machine is studied in this paper.
本文主要针对基于最小二乘支持向量机的自适应逆控制方法进行了研究。
We also discussed the application of support vector machine in multivariate classification with some examples.
还对支持向量机在多元分类中的应用进行了讨论，并给出了实例。
Support vector machine is a new technology of data mining, and it has been successfully applied to many fields.
支持向量机作为数据挖掘的一种新方法，在许多领域得到了广泛的应用。
Support vector machine based on differential evolution algorithm is introduced to resolve this problem in this paper.
本文建立了微分进化算法的支持向量机模型，有效地解决了产业结构趋势预测问题。
For this reason, several important properties of kernel function are discussed on the basis of support vector machine.
为此，在研究支持向量机的基础上，给出了核函数的若干重要性质。
Presents an efficient method of fabric defect classification based on cluster analysis and support vector machine (SVM).
提出一种基于聚类分析和支持向量机(SVM)的布匹瑕疵分类方法。
Transductive inference based on support vector machine is a relatively new research region in statistical learning theory.
基于支持向量机的直推式学习是统计学习理论中一个较新的研究领域。
The support vector machine (SVM) is an algorithm based on structure risk minimizing principle and high generalization ability.
支持向量机(SVM)是一种基于结构风险最小化原理，具有很好推广性能的学习算法。
This article presents a new method of plant classification of iris based on the support vector machine classification principle.
提出了基于支持向量机的分类原理对鸢尾属植物进行分类的方法。
A novel prediction model for remaining capacity of batteries based on least square support vector machine (LS-SVM) was proposed.
提出了一种最小二乘支持向量机的电池剩余电量预测新模型。
A novel evaluation method of customer satisfaction degree (CSD) in logistics based on support vector machine (SVM) was presented.
提出了一种新的基于支持向量机(SVM)的物流服务顾客满意度(CSD)评价方法。
We presented a novel method for forecasting landslide displacement based on phase space reconstruction and support vector machine.
提出了一种基于相空间重构与支持向量机预测滑坡位移的新方法。
Compared with the single suppo vector machine method, the support vector machine ensemble method has better classification accuracy.
模拟实验结果表明，该方法具有明显优于单一支持向量机的更高的分类准确率。
The results indicate that the support vector machine possesses extensive application prospects in processing earthquake precursory data.
研究结果表明，支持向量机方法在地震前兆数据处理中有着广泛的应用前景。
In this paper, statistical learning theory and support vector machine method are introduced in eor potentiality prediction for the first time.
本文首次将统计学习理论及支持向量机方法引入提高采收率方法的潜力预测中。
Applied support vector machine to foundation engineering, and proposed support vector machine method to compute the foundation bearing capacity.
将支持向量机方法应用到地基工程中，提出了计算地基承载力的支持向量机方法。
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