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。
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。
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。
Research on model selection of Support Vector Machine .
支持向量机的模型选择研究。
A multiclass text categorization model based on latent semantic analysis and support vector machine is researched and designed to enhance the accuracy of categorization.
为了提高文本分类的准确性，研究并设计了一个基于潜在语义分析和支持向量机的多类文本分类模型。
Considering the complex influence factors for the failure of drill stem, an analytic model for failure of drill stem based on support vector machine and cluster analysis theory was established.
针对钻具失效影响因素比较复杂的问题，建立了基于支持向量机和聚类分析理论的钻具失效原因分析模型。
In order to increase accuracy in gender classification, an iterative learning approach combining support vector machine (SVM) and active appearance model (AAM) was proposed.
为了提高性别检测的精度，提出了一种支持向量机(SVM)与主动外观模型(aam)相结合的迭代学习算法。
Classifying myoelectric signals using hidden Markov model and support vector machine to process myoelectric signals, with the task of discrimination five classes of multifunction prosthesis movement.
利用隐马尔克夫模型与支持向量机相结合，对站立和行走过程中的下肢表面肌电信号进行分类，用来控制多功能假肢。
A fault diagnosis approach for rotor systems based on AR model and support vector machine is proposed.
提出了基于AR模型和支持向量机的转子系统故障诊断方法。
This paper presents a novel algorithm for quasi-frontal face recognition based on the wavelet decomposition technique and a multi-class Support Vector Machine (SVM) model.
基于小波分解提取人脸特征技术和多分类支持向量机模型，提出了一种新的准正面人脸识别算法。
Introducing the novel fuzzy membership model into Adaptive Support Vector Machine (ASVM), we propose an Adaptive fuzzy Support Vector Machine algorithm (AFSVM).
并将新的模糊隶属度模型引入自适应支持向量机，提出了模糊自适应支持向量机算法。
A liveness check algorithm based on body temperature measurement model using SVM (support vector machine) is proposed.
提出了一种基于支持向量机体温检测模型的活性判别算法。
In model establishment of soft-sensing, the problems of small sample, non-linearity, high dimensions and local minimal value can be well solved by support vector machine algorithm.
在软测量建模过程中，基于支持向量机的算法能较好地解决小样本、非线性、高维数、局部极小点等问题。
In view of characteristics of pressure sensor affected by temperature changes and voltage fluctuation, a correction model of pressure sensor is presented based on Support Vector Machine.
针对压力传感器输出特性受温度变化和电压波动影响的问题，提出了应用支持向量机对压力传感器输出特性进行非线性补偿的校正模型。
Based on the main factors with important influence on slope stability, the support vector machine (SVM) model of slope evaluation is established.
根据影响边坡稳定性的主要因素，建立了边坡稳定性的支持向量机预测模型。
A new two-stage method of fingerprint classification is proposed that is based on hidden Markov model (HMM) and support vector machine (SVM).
提出了一种利用隐马尔可夫模型(HMM)和支持向量机(SVM)的两级指纹分类新方法。
Based on grey prediction GM (1, 1) model, an integrated grey Support Vector Machine (SVM) model was presented.
对灰色预测GM(1,1)模型进行了分析，提出了集成灰色支持向量机的预测模型。
On the basis of the experimental data of microstructure and strength for gray cast iron with high carbon equivalent, a model of support vector machine for gray cast iron prediction was established.
利用高碳当量灰铸铁组织强度试验数据，提出了一种基于支持向量机理论的灰铸铁强度预测模型。
This paper's main works is that: learning algorithm studies of support vector machine, mathematical model and application about feature selection, convergence analysis of clustering algorithm.
本文主要致力于支持向量机、近似支持向量机的学习算法研究，特征提取的数学模型与算法的改进及其应用，聚类分析算法的收敛性证明。
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。
The support vector machine prediction model has been applied in "comprehensive analysis and decision support system" for road resource integration project of Shaanxi province.
所研究的支持向量机预测模型在陕西省公路资源整合项目的“综合分析决策支持系统”中得到了应用。
This paper presented a Web page classification model based on Support Vector Machine(SVM)concerning the widely used asynchronous communication technology today.
该模型根据异步通信技术反映在页面上的特点，确定特征向量元素，结合SVM分类算法，建立基于SVM的页面分类。
In addition, the author chooses the factor on the basis of influential factors analysis, employ the Support Vector Machine for constructing discrimination model of corporate information disclosure.
另外，文章在影响因素分析的基础上，进行变量筛选，利用支持向量机方法建立上市公司信息透明度判别模型。
For the characteristics of power system static stable, a smart voltage stability assessment and prediction model is proposed using support vector machine.
针对电力系统静态稳定运行的特点，提出了基于支持向量机的智能化电压稳定评估模型。
And combining rough set and support vector machine, the mixture prediction model is established based on rough set and support vector machine.
将粗糙集与支持向量机两者结合，并建立了基于粗糙集——支持向量机的混合预测模型。
This paper focuses on the marketing risk evaluation, and introduce the method of Multi-Class Support Vector Machine as a new appraisal model to the marketing risk assessment practice.
本文着眼于营销预警与防范体系中的营销风险评价层面，将多分类的支持向量机方法做为一种新的评价模型引入到营销风险评价实务中。
Based on the analysis of various kinds of related methods, this paper puts forward a model for classroom teaching quality assessment based on support vector machine.
文章在分析和研究了多种课堂教学质量评价方法的基础上，提出了基于支持向量机的课堂教学质量评价模型。
The way of fault Diagnoses based on Support Vector Machine has a simple model compared with the traditional method. It also has great ability to classify, and the best generalization.
与传统的故障诊断方法相比，基于支持向量机的故障诊断方法具有模型简单、分类能力强、推广能力好等特点。
Model predictive control with least squares support vector machine (LS-SVM) has good control performance on the ship course even under the condition of disturbance and model parameter perturbation.
基于最小二乘支持向量机的船舶航向预测控制系统对外界干扰及模型参数摄动均具有较好的适应能力以及良好的控制性能。
Model predictive control with least squares support vector machine (LS-SVM) has good control performance on the ship course even under the condition of disturbance and model parameter perturbation.
基于最小二乘支持向量机的船舶航向预测控制系统对外界干扰及模型参数摄动均具有较好的适应能力以及良好的控制性能。
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