搜索资源列表
myFirstKernel
- 在gpu上实现载入核函数运行并检查是否运行成功-To achieve the gpu load kernel and run a successful check run
SVM
- SVM核心思想是:对于输入空间中非线性可分的情形,选择一个适当的非线性映射,将输入空间中的样本点映射到一个高维空间,然后通过一系列核函数、参数因子的选择得到最优分界面。-SVM core idea is: For the non-linear input space can be divided into the case, select an appropriate nonlinear mapping the input space
A-kernel-density-estimate-data
- 一篇核密度估计资料，一种新的核函数选择方法-A kernel density estimate data，A new kernel selection method
libsvm_guide
- libsvm介绍及用法，包括数据预处理，模型选择，何时使用线性核函数而非RBF核函数-libsvm introduction and usage, including data preprocessing, model selection, when to use linear kernel rather than the RBF kernel
svmkernel
- 此函数为支持向量机核函数的参数matlab程序-This function support vector machine kernel function parameters matlab program
SVM-img-process
- 讲了支持向量机关于分类的方法，利用不同的核函数进行分类。-Talking about the method of support vector machine classification, using different kernel function classification
medical-image-process
- 讲了支持向量机关于分类的方法，利用不同的核函数进行分类。-Talking about the method of support vector machine classification, using different kernel function classification
Support-vector-machine
- 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.
kernal-fuction-for-forecasting
- 优化组合核函数在预测的应用，在人工智能领域较新的应用，希望大家看一下-Optimize the combination of kernel functions in the prediction in the relatively new field of artificial intelligence applications, and hope that we look at
svmandkernelmethodstoolbox
- Matlab工具包，包含了支持向量机和核函数的工具包，可直接调用-Matlab toolkit, including support vector machine SVM and kernel function tool kit, can be called directly
FFF-IP-Core
- Altera FFT兆核函数的使用说明，希望对大家有所帮助。-The use of Altera FFT trillion nuclear function, we want to help.
svm-rbf-demo
- 基于RBF核函数的最小二乘支持向量机演示程序，对学习支持向量机有帮助-Based on RBF kernel functions, the least squares support vector machine (SVM) demo application to the study of support vector machine have help
LibSVM-analisis
- 对libsvm 的结构参数、核函数、svm预测以及训练等几个方面进行了详细的分析-It s detailed analysis Libsvm of the structural parameters and kernel function, SVM forecasting and training and so on.
svmnuclass
- 带参数的二次规划支持向量分类机，核函数的用处。-least-square support vector machine classification problem matlab code，functional margin，geometric margin，optimal margin classifier，Kernels feature mapping Regularization and the non-separable
4op8qr.ZIP
- 优化组合核函数相关向量机电力负荷预测模型Optimization of combined kernel function support vector machine power load forecast model-Optimization of combined kernel function support vector machine power load forecast model
KPCA
- KPCA是一种基于核的主要成分分析，是一种由线性到非线性之间的桥梁。通过非线性函数把输入空间映射到高维空间，在特征空间中间型数据处理，引入核函数，把非线性变换后的特征空间内积运算转换为原始空间的核函数计算。 基本思想是通过某种隐士方法将输入空间映射到某个高维空间（特征空间），并在特征空间实现PCA。对该算法进行了详细的说明-KPCA is a kernel-based principal components analysis, i
Object-nackillg-by
- 该文采用各向异性核函数均值漂移 算法实现目标跟踪，由于该核函数的形状、大小、方向能自适应于目标局部结构的变化，保证了跟踪效果的稳定 性和鲁棒性。实验结果证明该算法是有效的。 关-This p印er implement8 object tr纵血ing with anisotropic kernel mean 8hiR in which the 8hape， 8cale，and orieIltation of the ker
grouplasso_1_0.tar
- 用于解决最小二乘问题，使用了多维核函数学习的方法-Utilizing multiple kernel learning to solve the least-square regression problem
Matlab_SVM
- SVM实现数据分类，可自行选取核函数，用于图像分割操作。程序可自动训练分类平面。-SVM for data classification, are free to select the kernel function，For image segmentation operation. The program can automatically train classifiers plane.
svm03
- 基于混合核函数的支持向量机,新型的支持向量机方法-hybrid kernel funtion for support vector machine