搜索资源列表
svm_perf.tar.gz
- 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,y1), ..., (xn,yn). Unlike regula
libsvm-2.89
- SVM, Support Vector Machine , 簡而言之它是個起源跟類神經網路有點像的東西， 不過現今最常拿來就是做分類 (classification)。 也就是說，如果我有一堆已經分好類的東西 （可是分類的依據是未知的！） ，那當收到新的東西時， SVM 可以預測 (predict) 新的資料要分到哪一堆去。 -SVM, Support Vector Machine , is something that has similar roots with neural network
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,y1), ..., (xn,yn). Unlike reg
1428369chapter14
- 数据预处理,将原始数据进行归一化,SVM神经网络的回归预测分析上证指数开盘指数预测 -Data preprocessing, the raw data is normalized, the SVM regression analysis to predict the Shanghai Composite Index opened Neural Network Index Forecast
predict-tool
- 一个预测程序，用于SVM预测的，大家可以学习-is a predict
libsvm-predict
- 一个预测程序，用于SVM预测的，大家可以学习-it is a predict
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.)
多尺度
- 多尺度，小波核svm，有采集的数据，可做预测，适合学习(Multiscale Wavelet kernel svm, with collected data, can be used to predict, suitable for learning)
classifier_D
- 使用SVM分类器来预测乳腺癌病人的预后(特征选择；分类器构建)，评价模型时使用无被交叉验证，性能评价指标包括准确率，AUC，灵敏度，特异度。学会最基本的机器学习方法。可查看分发给大家的代码，以后遇到类似的问题，可用相似的思路和代码。(The SVM classifier was used to predict the prognosis of breast cancer patients (feature selection; classifier construction), and the