Search - SVM Demo

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[matlab] svm-demo DL : 0: 关于支持向量机的一种较快速的计算方法,可以提高其计算速度,SVM-demo算法.-on support vector machines a more rapid method of calculation can improve their speed, SVM-demo algorithm.
Date : 2026-01-03 Size : 5kb User : 醉心于
[matlab] svm_regressive DL : 0: 基于支持向量机（SVM）回归的MATLAB演示程序-Based on support vector machine (SVM) regression of the MATLAB demo
Date : 2026-01-03 Size : 1kb User : 张文俊
[matlab] SVMClassifier DL : 0: a demo of implementing SVM Classifier
Date : 2026-01-03 Size : 411kb User : abdollah arasteh
[matlab] svm-rbf-demo DL : 0: SVM-RBF演示程序直接放到matlab command窗口运行就可以了-SVM-RBF demo program directly into the matlab command window to run on it
Date : 2026-01-03 Size : 7kb User : 王孔峰
[matlab] SVM_Toolbox DL : 0: SVM工具箱，包括完整的工具箱，演示程序和说明文档-SVM toolbox, including a complete kit, demo program and documentation
Date : 2026-01-03 Size : 1.01mb User : DC
[matlab] svm_demo DL : 0: 解释svm原理用的demo源码並且利用簡單的繪圖秀出結果-Svm theory to explain the demo with source code and showed the results of a simple drawing
Date : 2026-01-03 Size : 3kb User : Steve Evan
[matlab] svm-rbf-demo DL : 0: 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
Date : 2026-01-03 Size : 7kb User : 熊楠
[matlab] svmdemo-1.2.tar DL : 0: SVM Demo for use with matlab lang.
Date : 2026-01-03 Size : 6kb User : mustafa
[matlab] svm_demo DL : 0: svm demo的实现实现SVM训练测试的全过程，对于初学者很实用，也能彻底了解SVM运行过程，知其然知其所以然，国外一权威网站上下载的，上传以供分享学习-svm demo of SVM training tests to achieve the realization of the entire process, a foreign authority Web site to download and upload for sharing learning
Date : 2026-01-03 Size : 24kb User : 张耀明
[matlab] demomodel DL : 0: This demo explains the use of the advanced object oriented interface model. The model is the generic object which collects all relevant signals, parameters, options and functions related to an application of the LS-SVM. This interface is depreciated for the casional users because of the implicit nature: the distinction between in- and output vanishes. If one wants to use the full power of LS-SVMlab, one is recommended to go through this demo. The options can be divided in 5 classes, the general LS-SVM options the trainpoint administration, the options of the Conjugate Gradient algorithm the preprocess options and the encoding options. The demo shows how to control the preprocessing and the coding using the appropriate model. It is adviced to check carefully the model s options before starting the calculations.-This demo explains the use of the advanced object oriented interface model. The model is the generic object which collects all relevant signals, parameters, options and functions related to an application of the LS-SVM. This interface is depreciated for the casional users because of the implicit nature: the distinction between in- and output vanishes. If one wants to use the full power of LS-SVMlab, one is recommended to go through this demo. The options can be divided in 5 classes, the general LS-SVM options the trainpoint administration, the options of the Conjugate Gradient algorithm the preprocess options and the encoding options. The demo shows how to control the preprocessing and the coding using the appropriate model. It is adviced to check carefully the model s options before starting the calculations.
Date : 2026-01-03 Size : 12kb User : hifa
[matlab] demofun DL : 0: This a simple demo, solving a simple regression task using LS-SVMlab. A dataset is constructed in the right formatting. The data are represented as matrices where each row contains one datapoint. In order to make an LS-SVM model, we need 2 extra parameters: gamma (gam) is the regularization parameter, determining the trade-off between the fitting error minimization and smoothness of the estimated function. sigma^2 (sig2) is the kernel function parameter of the RBF kernel. The parameters and the variables relevant for the LS-SVM are passed as one cell. This cell allows for consistent default handling of LS-SVM parameters and syntactical grouping of related arguments. -This is a simple demo, solving a simple regression task using LS-SVMlab. A dataset is constructed in the right formatting. The data are represented as matrices where each row contains one datapoint. In order to make an LS-SVM model, we need 2 extra parameters: gamma (gam) is the regularization parameter, determining the trade-off between the fitting error minimization and smoothness of the estimated function. sigma^2 (sig2) is the kernel function parameter of the RBF kernel. The parameters and the variables relevant for the LS-SVM are passed as one cell. This cell allows for consistent default handling of LS-SVM parameters and syntactical grouping of related arguments.
Date : 2026-01-03 Size : 12kb User : hifa
[matlab] svm_demo DL : 0: matlab code for SVM Demo
Date : 2026-01-03 Size : 23kb User : sswtechnology
[matlab] SVM-predict DL : 0: 一个matlab例程，基于SVM的信息粒化时序回归预测demo，实现了对上证开盘指数变化趋势和变化空间预测- A matlab routine, regression forecasting demo SVM-based information granulated timing to achieve the opening of the Shanghai index trends and changes in spatial prediction
Date : 2026-01-03 Size : 1.37mb User : 张竞成
[matlab] svm-rbf-demo DL : 0: 一个SVM的demo，RBF demo matlab程序,运行demo.m即可-A demo RBF, demo matlab SVM program, running demo.m can be
Date : 2026-01-03 Size : 5kb User : zcwl
[matlab] svmjs-master DL : 0: Support Vector Machine in Javascript (SMO algorithm, supports arbitrary kernels) + GUI demo
Date : 2026-01-03 Size : 154kb User : bipsman
[matlab] SVM DL : 0: 关于SVM编程算法实现示例，实现二分类问题(a program demo about SVM)
Date : 2026-01-03 Size : 7kb User : Vivian_icy