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Incremental and decremental support vector machine learning
Matlab code
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基于SVM的文本无关说话人识别算法研究，本文在最后用Matlab程序实现了一个基于支持向量机的说话人识别系统试验平台。并根据对参试者进行的大量身份测试试验，总结系统的各方面性能和分析存在的问题，为进一步研究提供了方向和宝贵的经验。
-SVM-based text independent speaker recognition algorithm, the paper used in the final implementation of a Matlab program based on
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首先用PCA对ORA人脸图像降维，然后用模糊支持向量机对提取的特征向量进行分类，识别率较高。-First using PCA for dimensionality reduction ORA face image, and then use fuzzy support vector machine to classify the extracted feature vectors, the recognition rate is higher.
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本书主要以分类问题（模式识别，判别分析）和回归问题为背景，系统阐述支持向量机和相应的优化算法-This book mainly classification (pattern recognition, discriminant analysis) and regression as the background, the system describes support vector machine and the corresponding optimization
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基于最小二乘支持向量机算法的三维荧光光谱技术的应用-Based on least squares support vector machine algorithm for three-dimensional application of fluorescence spectroscopy
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本文介绍了支持向量机的理论与算法研究，介绍了基础理论，核函数以及各种算法等内容-This paper introduced the support vector machine algorithm theory and research, introduced the basic theory, kernel function and a variety of algorithm etc.
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support vector machine-used for feature classification for matlab10
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我用支持向量机写的一个适用拟合程序，这需要数据文件，你可以自己采样数据-Support vector machine to write one for the fitting procedure
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支持向量机SVM是一种新的机器学习方法，其基础是统计学理论。模型泛化能力强；进行非线性分类时通过高维空间变换。-Support vector machine SVM is a new machine learning method, its base is statistics theory. Model generalization ability When the nonlinear classification by high dimension space transformation
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这是基于Matlab的支持向量机工具箱的叙述，里面详细介绍了在matlab开发环境下对支持向量机的说明和使用-This is based on the Matlab support vector machine tool box of the narrative, is introduced in detail in the Matlab environment development of support vector machine instructions and use
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matlab中的标准svm程序源码，用于解决线性的回归问题，不能用于解决非线性，区别于最小二乘支持向量机。-svm program source code, standard Matlab is used to solve linear regression problems, can not be used to solve nonlinear, different from the least squares support vector machine.
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Support Vector Machine (and Statistical Learning Theory) Tutorial by Jason Weston
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An introduction to Support Vector Machine implementations in MATLAB (MATLAB Workshop)
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支持向量机模型研究及应用，本文所做的工作主要在如下几个方面：
1)运用模糊集理论(FST)和概率理论对支持向量机进行研究，构造出了概率模糊支
持向量机(PFSVM)模型，既达到了减少或者消除外围异样点对于整个训练模型的影响，-Support vector machine model and application, this work mainly in the following aspects: 1) the use of fuzzy set theory (FST) and the
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提出了一种支持矢量机的汉语声调识别新方法。论文首先在基频和对数能量的基础上，建立了一个适合于支
持矢量机分类的等维声调特征。然后对支持矢量机的多分类策略和不同核函数对声调识别的影响进行了实验研究。
与BP神经网络相比，支持矢量机具有更高的识别率和更强的推广能力。-This paper presents a novel support vector machine based Chinese tone recognition method．A
new tone recognition
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超球体支持向量机是单类支持向量机的一种，超球体OC-SVM算法的思想为寻找一个超球体，使其半径尽可能小的同时，包含的训练样本数尽可能多。-Hypersphere support vector machine is a single-class support vector machine, thought hypersphere OC-SVM algorithm to find a hypersphere, so radius as small as possible while the num
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用最小二乘支持向量机的算法做一个对正弦波信号的跟踪，跟踪效果很好-Using least squares support vector machine algorithm to make one pair of sine wave signal tracking, tracking works well
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Crime hot-spot location prediction is important for public safety. The output from the prediction
can provide useful information to improve the activities aimed at detecting and preventing
safety and security problems. Location prediction is a sp
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This is the matlab code of Epsilon Twin Support vector machine
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用支持向量机svm实现分类与函数回归，其中包括svc程序，svc输出程序以及svr绘图程序-Classification and function regression using support vector machine svm, including svc program, svc output of the program as well as a drawing program svr
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