The paper presents a Support Vector Machine (SVM) based image denoising approach.
提出了一种基于支持向量机进行图像去噪的方法。
A support vector machine (SVM) model is used to correlate the false alarm of BIT to time stress information.
首先采用双支持向量机（SVM）的方法将实时应力信息与机内测试诊断结果相互关联。
The effectiveness of a Support Vector Machine (SVM) depends on the accuracy of the acquired data information.
支持向量机（SVM）的有效性依赖于对数据信息获取的准确性。
A new relevance feedback scheme is proposed based on a support vector learning algorithm for ordinal regression.
基于持向量学习算法，提出了一种新的相关反馈方案。
The last topic is about a trainable object detection system using at its core a Support Vector Machine classifier.
最后一个主题将讲解支持向量机分类物中核心使用的可训练物件侦测系统。
This paper presents a Support Vector Machine (SVM) method for classification of dynamic power quality disturbances.
论文将支持向量机引入到动态电能质量分类问题中。
A support vector regression method based on classification is presented to solve the nonlinear regression problem with unknown data distribution and mathematical model.
提出了一种基于分类技术的支持向量回归方法，解决数据分布未知、数学模型未知的非线性回归问题。
A support vector machine based modeling approach and a support vector machine based controlling approach are presented to analyze and control nonlinear systems with hysteresis.
我们提出了使用支持向量机作为迟滞非线性建模和控制工具的具体算法，来分析和精确控制迟滞系统。
It is the important method to realize the higher precision prediction and improve the utilizing rate. A support vector machine model is proposed to predict the VBR video traffic.
实现该信号通信量的高精度预测是提高信息传输速度和提高网络带宽资源利用效率的重要手段，本文提出采用支持向量机网络模型对VBR视频通信量进行预测。
In accordance with the features of non-linear and time varying for ferment process, a support vector machines (SVM) model is established for estimating the concentration of product.
针对非线性时变的发酵过程，建立了用于产物浓度预估的支持向量机(SVM)模型。
To combine the attribute reduction algorithm and the incremental training algorithm of support vector machine, a support vector machine classifier based on rough set is constructed.
将属性约简算法和支持向量机增量训练算法相结合，构造基于粗糙集数据预处理的支持向量机分类器。
A support vector decision function ranking method (SVDFRM) is used to calculate the contribution of network behaviors features, and then important network behaviors features are extracted.
利用支持向量决策函数排序法(SVDFRM)，通过支持决策向量函数得到网络行为的特征贡献率并提取网络行为的重要特征。
Then a support vector machine classifier is constructed and applied to ECG classification. Comparing with the classification of ECG by eyes, the classification results is much more precise.
然后基于支持向量机算法构造了支持向量机分类器，将其用于心电图分类，取得了较高的准确率。
Flash may find a home on Android particularly since Android continues to lack support for SVG - the web vector graphics standard.
Flash可能在Android上找到归宿，尤其是由于Android依旧缺乏对SVG (Web矢量图形标准)的支持。
You can augment the test tools to support more complicated checks-say, to determine whether the contents of two lists are the same or whether a certain condition is valid on all elements of a vector.
可以通过扩展测试工具支持更复杂的检查—例如，判断两个列表的内容是否相同，或者某一条件对于向量的所有元素是否都是有效的。
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。
Support vector machine is a new kind of machine learning method.
支持向量机是一种新的机器学习方法。
Support vector machine (SVM) is a new general learning machine, which analyzes the consistency of learning and speed of convergence from structure risk minimization principle.
支持向量机(SVM)是一种新的通用学习机器，它从结构风险最小化的角度，分析了学习过程的一致性、收敛速度等。
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。
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。
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。
Support vector machine (SVM) is a brand-new machine learning technique based on statistical learning theory. It is an ideal facility for modeling of various nonlinear systems.
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，它可以被广泛地用于非线性系统建模。
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 method of the electro hydraulic servo system identification modeling is presented based on support vector machines.
提出了电液伺服系统的支持向量机的辨识建模方法。
This paper introduces a text filtering system merging topic classification based on vector space model and sentiment classification based on support vector machine.
该文介绍了一种文本过滤算法，该算法把基于空间向量模型的主题分类算法与基于支持向量机文本态度分类结合起来。
This paper presents a recognition method of similar Chinese handwriting by support vector machine.
本文提出对手写相似汉字进行识别的支持向量机方法。
Support Vector machine is a new method of machine learning.
支持向量机是一种新的机器学习方法。
The support vector machine is a novel type of learning technique, based on statistical learning theory, which USES Mercer kernels for efficiently performing computations in high dimensional Spaces.
支撑矢量机是根据统计学习理论提出的一种新的学习方法，即使用核函数在高维空间里进行有效的计算。
The support vector machine is a novel type of learning technique, based on statistical learning theory, which USES Mercer kernels for efficiently performing computations in high dimensional Spaces.
支撑矢量机是根据统计学习理论提出的一种新的学习方法，即使用核函数在高维空间里进行有效的计算。
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