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svm_perf.tar.gz
- SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1,y1), ..., (xn,yn). Unlike regula
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.
SeveralrelativelynewSVMkernelfunctionandanumberofa
- 几篇较新的SVM文章核函数及多类问题lifeye1-Several relatively new SVM kernel function and a number of articles issues lifeye1
svm_perf
- SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1,y1), ..., (xn,yn). Unlike reg
SVM
- 用matlab的核函数对钓鱼岛实现分类（模式识别作业）-Kernel function using matlab realize the Diaoyu Islands classification (pattern recognition operations)
hehanshuSVM
- 基于核函数的SVM Kernel function of support vector machine based on-Kernel function of support vector machine based on
Combined-kernel-SVM
- 组合核支持向量机函数Combined kernel support vector machine function-Combined kernel support vector machine function
libsvm-3.20
- 利用svm进行分类器 很方便实用 强大 简介-Use svm classifier 13# highest feature index 3# kernel parameter-d 1# kernel parameter-g 1# kernel parameter-s 1# kernel parameter-r 270# number of training documents 117# number of support vectors plus 1
libsvm-mat-2.91-1
- 支持向量机中一个工具箱，支持二分类，四种不同的核函数-SVM a toolbox supports two classification, four different kernel functions
SVM_lzb1p0
- 简单的支持向量机工具箱，包含几种简单的核函数-Simple support vector machine (SVM) toolkit that contains several simple kernel function
mlclass-ex6
- 支持向量机，实现2或多分类，基于matlab仿真，内有说明-ex6.m- Octave scr ipt for the rst half of the exercise ex6data1.mat- Example Dataset 1 ex6data2.mat- Example Dataset 2 ex6data3.mat- Example Dataset 3 svmTrain.m- SVM rraining function svmPredict.m- SVM p
svm
- 1．掌握支持向量机（SVM）的原理、核函数类型选择以及核参数选择原则等； 2．熟悉基于libSVM二分类的一般流程与方法；-1. Master support vector machine (SVM) principles, and the type of kernel function kernel parameter selection principles 2. Familiar with the process-based approach libSVM two classifi
SVMcg
- LIBSVM的参数寻优，主要是自动计算惩罚系数和核函数中的gamma函数(The parameter optimization of LIBSVM is mainly to automatically calculate the penalty coefficient and the gamma function in the kernel function)
svmMLiA
- 基于最大间隔分割数据，SMO高效优化算法，在复杂数据上应用核函数(Partitioning data based on maximum separation, SMO efficient optimization algorithm, applying kernel functions to complex data)
SVM_Mdl.mat
- These files are matlab source code for price forecasting for smart meter hourly data. Step 1 relevant features are selected by Gray Correlation, Random Forest, Relief F algorithms. Then Kernel PCA of features are calculated. Price is predicted by Ker
多尺度
- 多尺度，小波核svm，有采集的数据，可做预测，适合学习(Multiscale Wavelet kernel svm, with collected data, can be used to predict, suitable for learning)