搜索资源列表
PolySVC
- Construct a non-linear SVM classifier with a polynomial kernel from the training Samples and Labels
systemcall
- 成都中嵌培训的linux驱动教程，内核开发第2天的，嵌入式入门的经典。花钱买来的哦-Chengdu embedded linux driver training, tutorial, the kernel development of the first 2 days, embedded entry classic. Oh, bought with money
proc
- 成都中嵌培训的教程，内核开发的内容加实例代码，是我花钱买的，很好的学习资料-Chengdu embedded training, tutorial, the kernel developers added an instance of the content of the code is that I pay the price, and a good learning materials
stprtool--SVM
- stprtool--SVM内核生产svm_mex.dll 用于其他SVM训练用-stprtool- SVM kernel production svm_mex.dll used for other SVM training with
titanium
- VC Support Vector Classification Usage: [nsv alpha bias] = svc(X,Y,ker,C) Parameters: X - Training inputs Y - Training targets ker - kernel function C - upper bound (non-separable case) nsv - number of support vectors alpha -
Intel-Doc
- Intel® China Software Center的Linux内核的培训资料 英文PPT 附 IA-32 Architecture Developer s Manual-Intel ® China Software Center of the Linux kernel' s training materials in English PPT with IA-32 Architecture Developer' s Manual
embeded-linux-c
- 嵌入式Linux c入门专题培训ppt资料，包括基于Linux的驱动开发，framebuffer开发，usb驱动开发，内核开发等，资料比较全。-The embedded Linux C introduction to special training data based on PPT, including the Linux driver development, the development of framebuffer, the USB driver development, Linux
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.
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
Cadence_Starter_Library
- ld Energy Detection Very useful document, helpful, En University of Electronic Science Thinking of joining the party 13 Introduction HID report descr ipto ARM7TDMI core technical reference SystemView system design and simu This
use_libsvzm
- To use precomputed kernel, you must include sample serial number as the first column of the training and testing data (assume your kernel matrix is K, # of instances is n):
ProjectPenalty
- 一种无损降维的方法论文，使用投影惩罚和核函数进行分类器的训练选择-A nondestructive method of dimensionality reduction papers, projection punishment and the kernel function classifier training options
SVM
- 针对基于GPS／GIS的浮动车数据特点，总结其中无效的数据类型，并给出数据有效处理的方法。以支持向量机原理、交通状态预测方法为基础，分析了常用支持向量回归机、核函数及模型参数的性能，以及各核函数及模型参数对支持向量机性能的影响及作用。针对路段平均速度预测中的小样本、非线性、高维回归等特点，将支持向量回归机方法引入基于浮动车数据的路段车辆速度预测，构建了路段平均速度短时预测模型。并以杭州市某路段的实际数据为例，详细阐述了支持向量回归机预测模型的具体建模和求解过程。运用LibSVM2．84软件包，进
Interupt-and-system-clock
- 东软内部关于ucos的终端和时钟的培训资料，个人学习过，觉得很实用，配合内核代码讲解，非常简洁易懂。-Neusoft internal training materials the ucos of interrupts and clock, personal learning, I feel very practical, with the kernel code to explain, very easy to read.
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
DM365
- DM365的一些培训资料 关于烧写内核之类的-DM365 some training materials like programming kernel
code
- matlab程序：高斯核回带用法的支持向量机，对样本经行训练得到预测模型-matlab program: the Gaussian kernel back with the use of support vector machine prediction model of the samples by the line training
fastsvm1
- 机器学习大牛Dale Schuurmans写的多类SVMs的快速实现算法，可以自己修改核函数，通过K-fold cross validation训练得到最优参数，分类效果很好-Machine learning large cattle Dale Schuurmans write multi-class SVMs fast algorithm, can modify the kernel function, the optimal parameters through K-fold cross v
matlab-SVM
- 本资料包括实验要求文档，报告文档，训练及测试数据，matlab源代码。就给定问题，利用SVM来进行分类。SVM包括hardmargin的线性和非线性内核，softmargin的线性和非线性内核分别来分类以及评估分类准确度-a MATLAB (M-file) program to compute the discriminant functiong for the following SVMs, using the training set provided：A hard-margin SVM
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