• The theory of Support Vector Machines is presented.

    阐述了模糊支持向量原理

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  • Research on model selection of Support Vector Machine .

    支持向量模型选择研究

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  • Chapter 4, The Some Development of Support Vector Machine.

    第4支持向量部分进展

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  • Support Vector machine is a new method of machine learning.

    支持向量一种新的机器学习方法

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  • Support vector machine is a new kind of machine learning method.

    支持向量一种新的机器学习方法

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  • Support vector machine (SVM) is a new machine learning technique.

    支持向量(SVM)一种新型机器学习方法

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  • The applications of support vector machine are reviewed in DNA microarray.

    支持向量DNA微阵列应用做一综述

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  • Validating the effectiveness of support vector machine for handwritten digit recognition.

    验证支持向量用于手写数字识别有效性

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  • 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(SVM)网络延时预测方法

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  • 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支持向量方法

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  • The support vector machine(SVM) is a new learning technique based on the statistical learning theory.

    支持向量SVM根据统计理论提出一种新的学习算法

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  • In this paper we present an improved dimensionality reduction method based on support vector machines.

    提出一种基于支持向量改进方法

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  • 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混合气体红外光谱组分浓度和种类分析方法

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  • This paper firstly investigates the application of support vector machines for medical image classification.

    本文首次采用支持向量方法医学图像进行了分类研究

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  • Online identification algorithm of support vector regression is used to build the inverse model for the plant.

    采用支持向量回归在线辨识算法作为建模方法建立被控对象模型

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  • We also discussed the application of support vector machine in multivariate classification with some examples.

    支持向量多元分类中的应用进行了讨论,并给出了实例。

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  • 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分类物核心使用的可训练物件侦测系统

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  • This paper presents a Support Vector Machine (SVM) method for classification of dynamic power quality disturbances.

    论文支持向量引入动态电能质量分类问题中。

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  • Support vector machine (SVM) is a new generation machine learning technique based on the statistical learning theory.

    支持向量(SVM)基于统计学习理论一代机器学习技术

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  • A method of the electro hydraulic servo system identification modeling is presented based on support vector machines.

    提出伺服系统支持向量辨识建模方法

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  • The support vector machine based speaker verification models are trained on the enrolled speaker and the background model.

    支持向量用作说话确认模型训练目标说话人和背景说话人语音数据。

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  • This article presents a new method of plant classification of iris based on the support vector machine classification principle.

    提出基于支持向量分类原理鸢尾属植物进行分类方法

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  • A new prediction approach for railway passenger volume is put forward by means of Least Squares Support Vector Machine (LS-SVM).

    提出种基于最小二乘支持向量机(LS - SVM)铁路客运量预测方法

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  • A novel prediction model for remaining capacity of batteries based on least square support vector machine (LS-SVM) was proposed.

    提出一种最小二乘支持向量电池剩余电量预测模型

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  • This sort of learning could take place with neural networks or support vector machines, but another approach is to use decision trees.

    这种学习可以使用神经网络或者支持向量不过决策可以实现类似的功能。

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  • Recently, Support Vector Machine is well applied in pattern recognition, function approximate, data mining and text auto categorization.

    目前支持向量模式识别函数逼近数据挖掘文本自动分类中均有好的应用

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  • This class, taught by the guest speaker, is devoted to the optimization problems underlying the implementation of Support Vector Machines.

    堂课授课特别来宾讲解构成向量执行基本原理最佳问题运用。

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  • How is the VC dimension of a support-vector machine related to its number of support vectors? Is there a formula relating these two quantities?

    支持向量支持向量相关VC怎样一个公式关于两个

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  • Applied support vector machine to foundation engineering, and proposed support vector machine method to compute the foundation bearing capacity.

    支持向量方法应用地基工程中,提出了计算地基承载力的支持向量机方法

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  • The fuzzy judgment support vector machine algorithm based on loss function is proposed, and compared with fuzzy sample support vector machine algorithm.

    提出基于损失函数模糊判决支持向量算法模糊样本支持向量机算法进行了比较

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