搜索资源列表
svm_predict
- LIBSVM支持向量机预测程序JAVA版-failed to translate
svm_scale
- LIBSVM支持向量机数据处理JAVA版-LIBSVM Support Vector Machine Data Processing JAVA version
svm
- LIBSVM支持向量机程序JAVA版源代码-failed to translate
checkdata
- LIBSVM支持向量机数据检查程序Python版-LIBSVM Support Vector Machine Python version of the data screening procedures
wekajava
- 由java开发的软件包，里面有人工智能所用的很多东东，包括神经网络，支持向量机，决策树等分类和回归分析方法，集成化软件哦-by java development package, which has artificial intelligence used by many of the Eastern, including neural networks, support vector machines, such as decision tree classification and regr
svm-theory
- 是关于支持向量机的一些重要的理论知识，讲得比较透彻-i think it s very usefull
sentiment
- 基于svm（支持向量机）的机器学习情感分析方法，里面有直接可以用的源码-sentiment analysis
jqvmap-stable
- JQVMap是一个用于输出向量地图的jQuery插件，使用可改变大小的SVG处理，支持的浏览器包括：Firefox, Safari, Chrome, Opera and Internet Explorer9. 对IE6-8的版本通过VML支持。-The jQuery plug JQVMap one for output vector map can change the size of the SVG processing and Supported browsers include: Fire
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
svmm
- 支持向量机用于负荷预测，java环境下源代码-Support vector machines for load forecasting, source code java environment
svm_java
- 支持向量机SVM(Support Vector Machine）作为一种可训练的机器学习方法，依靠小样本学习后的模型参数进行导航星提取，可以得到分布均匀且恒星数量大为减少的导航星表-Support Vector Machine SVM (Support Vector Machine) as a trainable machine learning methods, relying on small samples after learning Navstar extract model para
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
Classification
- 多文本分类，有数据集，中文文本，支持向量机的-Text classification, data sets, the Chinese text, the support vector machine (SVM)
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)
libsvm-java
- 支持向量回归机的Java代码 可以进行预测(It is the Java code of the support vector regression machine .It can predict unknown data.)
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
libsvm
- matlab中的于支持向量机代码。可以用于运行SVM，进行预测。