搜索资源列表
SVMclassification
- 介绍了SVM分类器原理,已经改进的算法,还有改进后的实验结果等等,是一个难得的好资料! -Introduced the principle of SVM classifier, the algorithm has been improved, as well as improved experimental results, etc., is a rare good information!
SVM
- 支持向量机(SVM)用于分类的算法实现-svm
SVM_luzhenbo
- 支持向量机工具箱,包括了二种分类,二种回归,以及一种一类支持向量机算法。 -Support Vector Machine Toolbox, including the two kinds of classification, two kinds of regression, as well as a one-class SVM algorithm.
libsvm_src_2.6NOTE
- 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。该软件包可以在http://www.csie.ntu.edu.tw/~c
libsvm-mat-2[1].9-11
- 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。该软件包可以在http://www.csie.ntu.edu.tw/~c
classify_yb
- 分别使用感知机,最小二乘,SVM进行样本分类的基础算法。-Perceptron,least squares,SVM based method were used for sample classification.
Labview-for-LIBSVM
- labview中实现分类算法支持向量机(SVM)的经典案例,来源于林智仁的matlab libsvm的labview版本。-achieve a classic case of SVM, labview labview version from the Chih- Jen Lin libsvm.
Liblinear
- 这是一个线性svm分类算法,可以用来对许多类数据进行划分-this is an liblinear svm method,we can divide classes
logisitic_exercise
- 一种用于数据分类的算法,与svm的作用类似-In statistics, logistic regression or logit regression is a type of probabilistic classification model[1] used for predicting the outcome of a categorical dependent variable (i.e., a class label) based on one or more predictor v
svm
- 支持向量机算法,可很好的用于分类问题,广发用于人脸识别,步态识别中!-Support vector machine algorithm, can be a good issue for classification, GF for face recognition, gait recognition!
SVM3OUT
- SVM神经网络的系统分类算法,修改可用,运行环境为Matlab。-System classification algorithm, SVM neural network to modify the available, operating environment for the Matlab.
SVM
- 支持向量机(SVM)分类支持向量机的故障诊断,主要可以处理多维数据,该算法能否实现故障和故障类型的判断-For support vector machine (SVM) classification of SVM fault diagnosis, the main can handle multidimensional data, whether the algorithm can realize fault and failure types of judgment
SVM.m 2
- 实现基础的SVM算法。利用Matlab自带包。(Implement the underlying SVM algorithm. Use Matlab to bring your own bag.)
FA
- 使用SVM算法进行分类,其中采用萤火虫算法进行SVM参数的优化。(SVM algorithm is used for classification, which uses the firefly algorithm to optimize the SVM parameters.)
SVM机器学习算法
- 该文件主要包含了Matlab条件下开发的SVM算法,该算法主要用于机器视觉的学习与分类(The file mainly includes the SVM algorithm developed under the Matlab condition, which is mainly used for learning and classification of machine vision.)
SVM
- 机器学习中一个比较重要的算法——线性分类的支持向量机。功能简单实用。(Support vector machines with linear classification)
前上右左手向有摆动svm算法85.333%
- 使用matlab libsvm 工具箱能够实现多分类任务(LIBSVM classification)
wine
- SVM多分类算法,基于svmlib适合初学者学习(SVM multi classification algorithm, based on svmlib suitable for beginners to learn)
19107matlab自编svm
- 利用原算法adaboost弱学习器基于决策树桩的方法对样本数据进行多分类(Multi-classification of sample data based on decision tree stump using AdaBoost weak learner)
ga_aco_opt_on_anfis_svm-master
- 利用遗传算法、蚁群算法、PSO等对SVM模型进行优化,实现高效分类和回归预测(The SVM model is optimized by genetic algorithm, ant colony algorithm and PSO to achieve efficient classification and regression prediction.)