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Semisupervised
- Semi Supervised classification pdf
backprop1b_src
- Backpropagation Backpropagation is a supervised learning algorithm and is mainly used by Multi-Layer-Perceptrons to change the weights connected to the net s hidden neuron layer(s). The backpropagation algorithm uses a computed output err
wekaUT.tar
- 实现半监督聚类，针对weka框架进行扩展。-It realize semi-supervised clustering method. And it is extension of weka.
TriTrain
- 周志华提出的Tri-Training源代码，利用三个分类器的半监督学习方法，Java版本-Zhou Zhihua proposed by the Tri-Training source code, use semi-supervised learning method, the Java version of the three classifiers
dlib-18.14.tar
- 机器学习的范畴，包括SVMs (based on libsvm), k-NN, random forests, decision trees。可以对任意的数据操作-Its focus is on supervised classification with several classifiers available: SVMs (based on libsvm), k-NN, random forests, decision trees. It also performs feature sel
SpinGlass
- SpingGlass算法是半监督社区发现算法，是为了解决完全依赖网络的拓扑结构进行社区发现的方法易受噪音干扰的问题，而提出的一种非重叠社区发现算法。(SpingGlass algorithm is a semi-supervised community discovery algorithm, which is a non-overlapping community discovery algorithm proposed in order to solve the problem that t
opencv_SVM_Application_20180103
- 使用JNI ，cmake 方式 移植 opencv 3.3.1 中的SVM到安卓上，用于支持向量机的 监督分类 本地此目录下需要这个opencv的安卓SDK代码: set(OpenCV_DIR D:/Code_December_12/opencv-3.3.1-android-sdk/OpenCV-android-sdk/sdk/native/jni)(Using JNI, cmake transplant SVM to Android in the transplanted opencv 3