• 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。

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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 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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  • 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。

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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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  • 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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  • 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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  • The paper explores possible applications of Prior knowledge Support Vector Machine (P-SVM) based data mining algorithm in an automatic TCM syndrome classification system.

    目的:探讨带先验知识的支持向量机(P-SVM)数据挖掘算法在中医证候信息自动分类中的应用。

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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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  • 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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  • Secondly, summarize the application of the machine learning methods in the bioinformatics and expatiate on the rationale of the Support Vector Machine (SVM).

    总结归纳了机器学习方法在目前生物信息学的应用,并对支撑向量机(SVM)算法的基本原理做了阐述;

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  • According to the features of color texture image of maize disease, a method of recognizing disease by using support vector machine (SVM) and chromaticity moments is introduced.

    针对玉米病害叶片彩色纹理图像的特点,提出一种将支持向量机和色度矩分析应用于玉米病害识别的方法。

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  • According to the features of color texture image of plant disease, recognition of plant disease using support vector machine (SVM) and chromaticity moments was introduced.

    针对植物病害彩色纹理图像的特点,提出将支持向量机和色度矩分析方法相结合应用于植物病害识别中。

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  • 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。

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  • Support Vector Machine (SVM) is an important learning method of statistical learning theory, and is also a powerful tool for pattern recognition.

    支持向量机是统计学习理论的一个重要学习方法,也是解决模式识别问题的一个有力工具。

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  • 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。

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  • The selection of the kernel function parameter and error penalty factor affected the precision of the support vector machine (SVM) significantly.

    核函数参数和误差惩罚因子的选择对支持向量机模型(SVM)的精度有较大影响。

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  • This paper proposes a new Support Vector Machine(SVM) for anomaly intrusion detection method based on Latent Semantic Indexing(LSI).

    论文提出了一种基于潜在语义索引(LSI)和支持向量机(SVM)的异常入侵检测方法。

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  • 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。

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  • So a novel promising machine learning technique specifically developed for analyzing little amount of samples, SVM (Support Vector Machine), will be more suitable in practical industrial application.

    因此在实际的工程应用中,支持向量机(SVM)作为一种新型的小样本建模分析工具是更适合的。

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  • 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。

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  • With an analysis of the estimation of cigarettes tar content, an estimation method is proposed based on Support Vector Machine (SVM).

    分析了卷烟焦油含量预测问题,提出了基于支持向量机的卷烟焦油含量预测方法。

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  • A classification method based on Support Vector Machine (SVM) is given in the digital modulation signal classification.

    给出了一种基于支持向量机的数字调制信号分类器设计方法。

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  • 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。

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  • When applied to regression and prediction, we often call SVM as support vector regression machine SVR.

    当sVM用于回归分析和预测时,通常称其为支持向量回归机svr。

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  • Subsequently those preprocessing data are the input of SVM (support vector machine) algorithm, which is used for ball bearing fault detection.

    将预处理后数据作为SVM(支持向量机)算法的输入,通过SVM算法来检测轴承故障。

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  • Furthermore, combined with the nearest distance classifier, the support vector machine (SVM) is used for classification.

    然后再以支持向量机(SVM)和最近邻分类法相结合组成分类器进行分类。

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  • A new method for modulation classification based on Support Vector Machine (SVM) is presented.

    提出一种基于支持向量机的实际调制信号自动识别新方法。

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  • A new method for modulation classification based on Support Vector Machine (SVM) is presented.

    提出一种基于支持向量机的实际调制信号自动识别新方法。

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