搜索资源列表
svm-predict
- 使用SVM支持向量机 预测分类 使用SVM支持向量机 预测分类-use SVM SVM forecast classification SVM SVM classification forecast
svm-predict
- 使用SVM支持向量机 预测分类 使用SVM支持向量机 预测分类-use SVM SVM forecast classification SVM SVM classification forecast
svm_hmm
- SVMhmm: Learns a hidden Markov model from examples. Training examples (e.g. for part-of-speech tagging) specify the sequence of words along with the correct assignment of tags (i.e. states). The goal is to predict the ta
libsvm-2.81
- 这个程序是matlab编写的支持向量程序，主要由于预测。-This procedure is prepared matlab support vector procedure, mainly due to prediction.
svm-predict
- 支持向量机算法预测部分，主要是针对大规模对象进行预测-Support Vector Machine forecast, mainly for large-scale objects to predict
svm-predict
- 支持向量机用于回归预测的部分，功能强大又简单容易理解，用于模式识别的好工具-Parts of SVM for predict,gteat function and easy to understand, a good machine for classification
svm_perf.tar
- SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1
svm_perf
- SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1
SVM-PREDICT
- SVM神经网络的信息粒化时序回归预测----上证指数开盘指数变化趋势和变化空间预测-Information Granular SVM neural network time series regression of the Shanghai Composite Index opened---- Index forecast trends and changes in space
SVM
- 支持向量机来分析数据，并通过建立向量机来预测数据的趋势-Support vector machine to analyze data and predict trends in the data
svm
- 支持向量机模型用于预测分析效果显著，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-Support vector machine model is used to predict significant effect in solving small sample, nonlinear and high dimensional pattern recognition exhibi
svmpredict
- 支持向量机源代码,svm预测,使用libsvm进行分类,优化libsvm的各种参数-svm predict
SVM
- SVM神经网络的信息粒化时序回归预测 遗传算法的典型实例-SVM neural network information granulation typical examples of the time series regression to predict genetic algorithm
regress-and-predict
- 基于svm的一维信号的回归预测，精确度优于传统的神经网络方法-The one-dimensional signal based svm regression prediction accuracy is better than traditional neural network method
SVM-MT
- 基于libSVM-v310的完全多线程化libSVM，仅读写文件在框架内无法优化。svm-predict不需要openmp支持，svm-train需要打开openmp支持。VS2008编译。修改MAX_THREAD可以调整svm-predict线程数。-A fully multi-thread optimized libSVM based on libsvm-3.10. svm-predict won t need openmp how
SVM-predict
- 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
SVM
- 使用支持向量机算法对二分类问题进行预测，实现大数据分析的目标。(Support vector machine algorithm is used to predict the two classification problem, and achieve the goal of large data analysis.)
SVM
- SVM处理图像 数据与处理 特征提取 训练模型 模型预测 得到结果(SVM processing image data and processing feature extraction training model model to predict the results)
prediction SVM
- 用SVM做预测的matlab程序,内部程序详细，包含数据(a program to predict time series)
libSVM
- 利用LibSVM以及SVM模型进行文本数据分类。训练数据与测试数据都有。(Using LibSVM and SVM model to classify text data. Both the training data and the test data are available.)