搜索资源列表
LS-SVMlab1[1].5
- 基于支持向量机回归的LS-SVM的matlab源码-Based on Support Vector Machine LS-SVM regression in matlab source
OSU_SVM3.00
- matlab支持向量机用于多类模式的分类,较全面,可以迅速解决问题,值得下载!-matlab support vector machine model for multi-category classification, a more comprehensive, you can quickly solve the problem, it is worth to download!
RVM_matlabToolBox
- 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
LS-SVM-toolbox
- 最新最小二乘支持向量机工具箱和使用说明,里面有详细的说明和实例-the latest LS-SVM toolbox for matlab
SVC
- 使用支持向量机实现对数据的分类工作,精度很高,但是存在运行时间比较长的问题-The use of support vector machine implementation of the classification of data, high accuracy, but the existence of relatively long running time problem
SVM-for-classfication-and-regression
- 用支持向量机(SVM)实现分类与函数回归的源代码。内有实例,依湖芦画瓢即可。-Using support vector machine (SVM) classification and function to achieve the reunification of the source code. There are examples, according to Lake Lo paintings can ladle.
sum1all
- 一个毕业程序设计,是用小波和支持向量机对电能质量扰动的识别与分类,主要利用的能量特征。-A graduate program design is the use of wavelet and support vector machines for power quality disturbance recognition and classification, the main characteristics of energy use.
class
- 这个是我自己编写的基于混沌自适应粒子群优化支持向量机用于分类的matlab程序,本程序以心脏病的诊断为例,得出了非常好的效果!主要贡献在于解决了支持向量机参数人为选取随意性大且效果好坏不稳定的难题!-This is what I have written based on adaptive chaotic particle swarm optimization of support vector machine for classification of matlab procedures, t
SVM_lzb1p0
- svm(支持向量机)能进行分类。有不同的核函数,如线性,多项式等-svm (support vector machine) can be classified. There are different kernel functions, such as linear, polynomial, etc.
prtools
- 一个强大的统计模式识别工具箱,包含高斯分类器,高斯混合模型,主成分分析,支持向量机等常见分类方法。-A powerful statistical pattern recognition toolbox, including the Gaussian classifier, Gaussian mixture model, principal component analysis, support vector machines and other common classification met
svm
- 纠错输出编码的多类支持向量机,自己编辑的码本,完全随机编码,对于7-15类效果很好-err
LSSVMstudy
- 对学习最小二乘法的初学者有很大的帮助的一篇文章最小二乘支持向量机算法及应用研究-Least square method of learning is very useful to beginners in an article- least squares support vector machine algorithm and applied research
OnlineSVR_Matlab_7.0_2006_CodeManual
- 一个适合进行在线支持向量机回归辨识的Matlab源程序。-Matlab programs for on-line regression identification using Support Vector Machine
SVM_Training
- 基于支持向量机算法的分类程序,matlab实现。-Based on support vector machine algorithm for classification procedures, matlab realize.
oao
- 多分类问题的支持向量机源程序一对一方法 绝对可以运行-Multi-class SVM using One-Against-One decompositionoao
svdd
- 超球面支持向量机,一种构建超球面来进行分类的单类svm -Ultra-spherical support vector machine, a super-spherical to build a single-category classification SVM
LS-SVMlab1.5aw
- 一种基于matlab的支持向量机小例子,用于预测,LS-A matlab-based support vector machine small example for the prediction, LS
25811252GUI_PR_SVM
- 支持向量机工具箱,实现分类的算法,简单好用-Support Vector Machine Toolbox, realize the classification algorithm, easy-to-use
SVM_luzhenbo
- 支持向量机工具箱,可进行分类,预测等,实现了四种支持向量机工具箱的分类与回归算法,有实例-Support Vector Machine Toolbox, it can conduct classification, prediction and so on, implementation of the four support vector machine toolbox classification and regression algorithm, has examples of
gyy
- 从因子分析的角度出发解决基因表达谱分析问题。为解决独立成分分析方法在求解过程中的不稳定性,提出一种基于选择性独立成分分析的DNA微阵列数据集成分类器。首先对基因表达水平的重构误差进行分析,选择部分重构误差较小的独立成分进行样本重构,然后基于重构后的样本同时训练多个支持向量机基分类器,最后选择部分分类正确率较高的基分类器进行最大投票以得到最终结果。在3个常用测试集上验证了本文设计方法的有效性。-This paper tries to deal with gene expression proble