搜索资源列表
SMO_C++
- 基于smo算法的支持向量机(SVM)方法的C++实现,是模式识别技术中经典的算法.-algorithm based on the Support Vector Machine (SVM) methods of achieving C, Technology is the classic pattern recognition algorithm.
Featureselectiontodiagnoseabusinesscrisisbyusingar
- 用遗传算法进行特征选择并优化支持向量机的核函数参数和惩罚因子
wlsvm
- 嵌入weka中使用的支持向量机工具包，实现SVM的分类算法，
SVM-JAVA
- 这是一款基于java和python实现svm支持向量机的算法源代码，可以实现对任意点阵的分类，效果非常明显-This is a based on java and python svm support vector machine algorithm source code, you can achieve the classification of any dot matrix, the effect is very obvious
SVM-Java-Code
- 十大经典算法之支持向量机的Java源代码，eclipse环境下进行数据分类必备算法。-Ten classic algorithm of SVM Java source code, data classification algorithms necessary eclipse environment.
smo_java
- 支持向量机SVM的SMO算法的JAVA实现版本, 有线性内核和非线性BRF两个内核的算法-The SMO support vector machine SVM algorithm JAVA implementation version, linear and non-linear BRF two core kernel algorithm
SVM
- 支持向量机算法的机器学习，数据是从官方下载的。- SVM machine learning, data is downloaded the official.
SVMTest
- 支持向量机算法实现,Support vector machine algorithm implementation.-Support vector machine algorithm implementation
NLPLibSVM
- svm算法包，简单实现svm，下载下载，机器学习算法（如神经网络BP、支持向量机SVM，循环神经网络JRNN, 递归神经网络LSTM,分组数据处理GMDH, 极限学习机ELM(svm this class label employ a lazy and easy method,any class must written in 0,1,2...so the preprocessing is required)
rseslib-3.0.4-src
- 包含很多知名算法实现，支持向量机，决策树，粗糙集，贝叶斯分类器等，适合学术研究，短评论意见挖掘，文本分类等(It includes many well-known algorithm implementation, support vector machine, decision tree, rough set, Bias classifier, etc., which is suitable for academic research, short comment mining, text c