搜索资源列表
一个SVM的MATLAB工具箱
- 一个SVM的MATLAB工具箱,Support Vector Machine toolbox for Matlab Version 2.51-A matlab toolbox of SVM,Support Vector Machine toolbox for Matlab Version 2.51
Gini-SVM
- 一种新的SVM算法，性能很好。我经过好多验证的，请放心使用-a new SVM algorithm, a very good performance. I read a lot of certification, please rest assured that the use of
svm-matlabtoolbox
- 用于matlab环境下的支持向量机svm的工具箱，做这方面的朋友很需要哦
svm-toy
- svm实现的例子
Digit-recognizer---knn-a-svm
- matlab中分别使用knn（k近邻）与svm（支持向量机）实现的对手写数字识别的二分类器-Digit recognizer(KNN and SVM) developed in matlab
GOFuzzyv1.0
- 数据挖掘，多种聚类算法.FCM, HCM, SVM, 等各种柔性聚类方法。-Data mining, a variety of clustering algorithms. FCM, HCM, SVM, such as flexible clustering method.
libsvm
- Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic mo
10Algorithms-08
- This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
svm_toy3d
- svm_toy3d SVM 3d效果显示 svm_toy3d SVM 3d效果显示-svm_toy3d SVM 3d results show
SVMWrap
- 开源的svm工具，安装、使用都很简单，推荐使用，很方便的，用了就知道。-Svm open source tools, installation, use very simple, recommended, it is convenient to use the know.
svm
- LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用；该软件还有一个特点，就是对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数就可以解决很多问题；并且提供了交互检验(Cross Validation)的功能-The LIBSVM Taiwan University Chih- J
NPSVM-dual(Nonparallel-SVM)
- 对现在非常流行的非平行超平面进行编程，可用于twin svm等非平行问题。-Use for "Nonparallel Support Vector Machines"
svm-toy
- Agorithm easy to Support vector machine (svm) toy proce-Agorithm easy to Support vector machine (svm) toy process
SVM-KM
- a good svm tool, containing multiple algorithms
SVM
- 回归分析，该支持向量机算法可用于预测，电力负荷、风力发电预测等(Regression analysis, the support vector machine algorithm can be used to forecast the power load, wind power prediction)
LS-SVM
- 最小二乘算法的改进，最小二乘SVM的实现！(Improvement of SVM by Least square SVM.)
SVM
- svm algorithm of classification
paper
- 可以对人工智能SVM感兴趣的人，看一看，相关论文合集(SVM algorithm papers application)
支持向量机（Support Vector Machine, SVM）
- 支持向量机（support vector machine，SVM）是由Cortes和Vapnik在1995年提出的，由于其在文本分类和高维数据中强大的性能，很快就成为机器学习的主流技术，并直接掀起了“统计学习”在2000年前后的高潮，是迄今为止使用的最广的学习算法。(Support vector machine (support vector machine, SVM) is proposed by Cortes and Vapnik in 1995, because of its powerf
rbf-svm.py
- 通过SVM可以对两个半月形的数据簇进行分类(By using SVM, two semilunar data clusters can be classified.)