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由java开发的软件包，里面有人工智能所用的很多东东，包括神经网络，支持向量机，决策树等分类和回归分析方法，集成化软件哦！-by java development package, which has artificial intelligence used by many of the Eastern, including neural networks, support vector machines, such as decision tree classification and reg
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模式识别一份很好的作业,包括线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征,支持向量机-a very good operation, including linear classification; Minimum risk Bayesian classifier; Supervised learning method Hierarchical clustering analysis; K-L transform effective features, supp
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基于SMO算法的支持向量机，内有详细的注释说明，非常不错的源程序,采用Viusal .Net编写
-SMO algorithm based on support vector machines, which have detailed explanatory notes, a very good source, using deadly. Net prepared
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Support Vector Machines is a powerful methodology for solving problems in nonlinear classification and regression.
It is a matlab version.-Support Vector Machines is a powerful methamphetamine odology for solving problems in nonlinear CLAS sificati
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The program performs alpha seeding within LIBSVM Solvers. Please refer to:
D. DeCoste and K. Wagstaff, \"Alpha Seeding for Support Vector Machines for the meaning of alpha seeding\".
-alpha seeding within LIBSVM Solvers. Please refer to : D. DeCo
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使用最小二乘支持向量机对多维pyrim数据进行回归，需要下载最小二乘支持向量机工具箱。-use of least squares support vector machines for multidimensional data pyrim return need to download least squares support vector machines toolbox.
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用matlab编写的用语分类的支持向量机-using Matlab language prepared by the breakdown of support vector machines
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Matlab codes for Hidden Sapce Support vector machines-Matlab codes for Hidden Sapce Support vect or machines
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支持向量机Windows Svm-Support Vector Machines of Windows Svm
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用于分类的一个工具箱，内含支持向量机、神经网络、主元分析、多变量样条等方法的matlab源代码，还有用户手册。-A tool for classification, including support vector machines, neural networks, principal component analysis, multivariate methods such as spline matlab source code, as well as user manuals.
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相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。
RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点：
(1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布.
(2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间.
(3) RVM不需要估计过多的参数.
(4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好.
-Relevance Vector Ma
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用于在matlab中实现非线性回归的支持向量机svm算法-Used matlab to implement non-linear regression algorithm of support vector machines svm
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支持向量机的一些常用的源代码，包括KPCA，KFD等。-Some commonly used support vector machines source code, including KPCA, KFD and so on.
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一篇介绍将SVM应用于人脸探测的论文，推荐-Training support vector machine an application to face detection
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Support vector machines for classification and regression
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lssvm即最小二乘向量机，可以处理有关lssvm的相关问题- lssvm, the least squares vector machines, can handle issues related to the lssvm
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深度优先搜索的支持向量机参数优化算法
Study on Parameters Optimization of Support
Vector Machines Based on DFS
:研究支持向量机参数优化问题，由于算法要求准确选择 SVM 参数，支持向量机在处理大样本数据集时和最优模型参
数确定时，消耗的时间长、占有内存大，易获得局部最优解的难题。为了解决支持向量机存在的不足，采用深度优先搜索算
法对其参数优化机机制进行改进。将向量机参数优化视成一个组合优化问题，将支持向
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改进的P_SVM支持向量机与遥感数据分类,对多光谱高光谱分类-Improved P_SVM support vector machines and remote sensing data classification, Classification of multispectral hyperspectral
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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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Classification of breast tissues based on Support Vector Machines
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