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  • Research on model selection of Support Vector Machine .

    支持向量机的模型选择研究。

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

    第4章,支持向量机的部分进展。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • Support Vector Machine for regression (SVR) has shown very good learning performance.

    回归型支持向量机方法SVR具有很好的学习性能。

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  • In this paper, we presented support vector machine and applications in concept design.

    本文研究了支持向量机及其在概念设计中的应用。

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  • 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。

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  • 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。

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  • Support Vector Machine is the most successful method of protein homology remote detection.

    支持向量机是目前蛋白质远程同源检测应用最成功的方法。

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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机(SVM)的网络延时预测方法。

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  • Application of theory of support vector machine for forecasting link travel time is discussed.

    主要探讨支持向量机理论在路段行程时间预测中的应用。

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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的支持向量机方法。

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

    支持向量机(SVM)是根据统计理论提出的一种新的学习算法。

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  • The establishment of beast square support vector machine method and sliding time window is introduced.

    介绍了最小二乘支持向量机计算法和滑动时间窗的建立。

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  • 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。

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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机的混合气体红外光谱组分浓度和种类分析的新方法。

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  • 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。

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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机分类物中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.

    论文将支持向量机引入到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.

    支持向量机(SVM)是基于统计学习理论的新一代机器学习技术。

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

    支持向量机用作说话人确认模型来训练目标说话人和背景说话人的语音数据。

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  • Multiple support vector machine can perform more complex tasks because every support vector machine only finish the subtask.

    由于每个子网络只完成相应的子任务,因而多支撑向量网络可以解决更为复杂的学习任务。

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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。

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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).

    提出了一种基于最小二乘支持向量机(LS - SVM)的铁路客运量预测的新方法。

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

    提出了一种最小二乘支持向量机的电池剩余电量预测新模型。

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  • 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。

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

    目前,支持向量机在模式识别、函数逼近、数据挖掘和文本自动分类中均有很好的应用。

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