搜索资源列表
scadsvmCode
- scadsvm算法 非常不错 使用scad惩罚的svm算法,可用于分类-scadsvm algorithm is very good use of scad punishment svm algorithm, used to classify
SVM_MATLAB
- SVM算法的MATLAB实现,配有实例说明及各种文档,详细介绍了怎样在matlab的平台上实现SVM对数据的分类-SVM algorithm in MATLAB, with examples and a variety of documents
SVMmatlab_coding
- 支持向量机代码 用于分类 识别算法开发语言 matlab-svm coding
SVM2012
- SVM支持向量机算法介绍以及实现代码,实现分类计算。-SVM support vector machine algorithm and the code to achieve the classification calculation.
gaSVMcgForClass
- 利用遗传算法对支持向量机(SVM)进行分类优化-optimizate the support vector machine (SVM) classification by using the genetic algorithm
psoSVMcgForRegress
- 利用粒子群算法对支持向量机(SVM)进行分类优化-optimizate the support vector machine (SVM) classification
imageSVM
- 利用svm算法分类图像。示例中:将篮球场和网球场利用算法自动分类,包含了基于颜色矩的彩色图像特征提取算法-image classification using SVM algorithm
Linear-classifier-design
- 对“data1.m”数据,分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器,分别画出决策面,并比较性能。-The "data1.m" data, respectively, using the perceptron algorithm, the least square error algorithm, the linear SVM algorithm design classifier, respectively, to draw the decision-making surf
SVM_Nonlinear3
- 对“data3.m”数据,用其中一半的数据采用非线性SVM算法设计分类器并画出决策面,另一半数据用于测试分类器性能。采用三套核函数,并且比较不同核函数的结果。-To "data3.m" data, which half of the data using nonlinear SVM classification algorithm design and draw the decision-making surface, the other half of the data used to tes
SVMclassify
- 这是一篇基于SVM算法的文本分类器的文章,文章详细介绍了分类器的算法原理,对图像图形处理专业人员的重要参考价值!-This is a text classifier based on SVM algorithm, the article details the classifier algorithm principle, an important reference value of the image graphics professionals!
SlibbsvmmV
- SVM是一种常用的模式分类机器学习算法,以效率高准确度高闻名于于世,libsvm与svmlight是常用的两种SVM实现方法。 -SVM is a common pattern classification machine learning algorithms, high efficiency and high accurate well-known in the world, the libsvm archive. And svmlight two SVM method.
spider
- 机器学习matlab源代码,包括多分类SVM,模式识别,特征选择,回归等算法。-The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with
human-detect-and-track-
- 为了检测红外图像序列中的运动人体,提出了一种基于最大后验概率 (MAP)-马尔可夫随机场(MRF)模型和亮度-距离联合直方图的人体实时检测 方法。该方法首先建立图像序列时空域联合的概率分布模型,采用基于 MAP-MRF 模型的前景检测方法得到可能为人体的感兴趣区域(ROI)。然后在以 ROI 中心点 为圆心的各个圆环域中统计其亮度信息,构建基于亮度-距离联合空间的分类特 征。最后,采用支持向量机(SVM)分类器对候选区域进行分类检测。不同红外 图像序列的实验结果均表明,本
libsvm-2.8
- SVM算法,如果你想找一种方法来分类,该算法是一个非常好的算法。-the algorithm of SVM,You can have a try.If you think this algorithm is good,you can contact with me.
knnsvm
- 结合KNN(最近邻)算法和SVM(支持向量机)算法的分类器,,原创-KNN+SVM classification recognition algorithms, absolute originality
classifer
- 二分类问题采用包括逻辑回归、最小二乘法、感知器算法(按下space不断迭代)、svm线性分类,另外还有高斯分线性分类(待完善),针对平面上两类点进行分类-Second classification using logistic regression, the method of least squares, perception algorithm (Press space iteratively) svm linear classification, in addition to the Ga
Custom-Evaluation
- 提出一种基于粗糙集与支持向量机的客户动态评估方法。根据客户群特点从当前价值、潜在价值和附加价值三个维度分析并构建客户评估指标,利用指标的年增幅率监测客户价值的变化规律。应用粗糙集布尔推理算法、粒子群算法实现连续属性离散化和知识约简。通过10-重交叉验证和网格搜索技术获取最优惩罚因子与核参数,缩放样本数据集并完成支持向量机一对一分类器的训练与测试。结果表明该评估方法能够实现周期性的客户价值评估与细分,具有很强的泛化能力。- A customer dynamic evaluation method
Active-Learning
- 遥感图像分类工具箱,包含多种基于支持向量机分类器的主动学习算法-active learning toolbox, used for remote sensing data classification, includes most popular svm-based active learning algorithms.
support_vector_machine
- 实现了SVM算法对图像监督分类,用户需要自己设定参数。-Achieve a supervised classification SVM algorithm for image, you need to set their own parameters.
libSVMmatlab
- libSVM是一种分类效果较好的SVM算法,能够实现多类数据的高正确率分类。-libSVM is a better classification results of SVM algorithm, to achieve multi-class classification data high accuracy.