搜索资源列表
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
A-GA-based-feature-selection-and-parameters-optim
- Support Vector Machines, one of the new techniques for pattern classifi cation, have been widely used in many application areas. The kernel parameters setting for SVM in a training process impacts on the classifi cation accuracy. Feature
mySVMHighDim
- implementation of kernel SVM in matlab. It plots results. It can solve in high dimensional data
SVC-and-SVR
- 基于SVM数据分类及回归分析，并采用不同的核函数如RBF,sigmoid,polynomial等-the data classification and regression analysis based on SVM, by using different kinds of kernel functions, for examples, RBF,sigmoid and ploynomial and so on
GImpprovedSVVe
- 将遗传算法(GA)与传统SVM算法结合，构造出一种参数最优的进化SVM(GA2SVM)，SVM 模型使用径向基函数(RBF))作为核函数，运用格雷码编码方式对SVM算法的模型参数进行遗传编码与优化搜索，，将搜索到的优化结果作为SVM 的最终模型参数。 -Genetic algorithm (GA) combined with the traditional SVM algorithm to construct a parameter of the evolution of the optim
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
PPSO-SVMfaceS
- 基于PSO训练SVM的人脸识别利用支持向量机在学习能力方面表现的良好性能,结合核主元分析特征提取方法,将将其应用于人脸识别中,该方法在实验中表现了良好的识别性能,为人脸识别领域提供了一条新的识别途径 已通过测试。 -Good performance, performance in the ability to learn the use of support vector machines based on PSO training SVM face recognition combined
Support-vector-machine-
- 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
KA
- Kernel alignment is a good method for choosing the proper kernel parameters in SVM or other kernel based method.
exclass1
- 支持向量机SVM和核函数的matlab实例-Examples of support vector machines SVM and kernel function matlab
sig
- 支持向量机SVM和核函数的matlab实例-Examples of support vector machines SVM and kernel function matlab
pcnn
- 采用PCNN和ICM方法的图像去噪时的特征提取方法步骤-Examples of support vector machines SVM and kernel function matlab
lib-mkl
- Multiple kernel learning is a model to merge multiple kernels by linear combination. Mostly solving the models are slow due to explicit computation of kernels. Here, we propose to approximate kernel map function explicitly in finite dimensional sp
SVMClassification
- 这是我自己的SVM分类程序，本人正在用包括核函数的选择，线性核函数等。-This is my own SVM classification procedures, I was with, including the choice of kernel function, linear kernel and so on.
EmotionClassification
- SPEECH-BASED EMOTION CLASSIFICATION USING MULTICLASS SVM WITH HYBRID KERNEL AND THRESHOLDING FUSION-SPEECH-BASED EMOTION CLASSIFICATION USING MULTICLASS SVM WITH HYBRID KERNEL AND THRESHOLDING FUSION
simplemulti-kernel-svm
- 经典的多核学习工具箱，功能强大，内容全面-The classic multi-core learning toolbox, powerful, comprehensive
demoBagSVM
- 一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章：Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。-A semi-supervised SVM is presented for the classification of remote sensing images. The
svm_v251
- 用于模式分类和预测的方法——支持向量机的TOOLBOX的程序，核函数选择为 RBF核函数-Method for pattern classification and prediction- SVM TOOLBOX program, RBF kernel function is selected as the kernel function
libsvm-2.87
- 非常实用的支持向量机（SVM）软件，核函数为precomputed kernel，程序中自带参考数据。-Very practical support vector machine (SVM) software kernel is precomputed kernel, the program comes with the reference data.
c4.5-decision-tree-matlab
- c4.5分类器 支持向量机算法 文本分类 样本支持 核函数算法-c4.5 classifier SVM text classification algorithm sample support kernel function