搜索资源列表
svmlight
- Joachims的SVM-light工具包 里面含有 两个.exe文件svm_classify.exe svm_learn.exe 可以实现Transductive SVM用Anton s Matlab interface to SVM light 使用会更方便-Joachims s SVM-light kit which contains two. Exe files svm_classify.exe svm_learn.exe ca
transductive-SVM
- 对直推式支持向量机的较为经典的介绍，包含一些直推式学习的思想，算法-Direct Push on Support Vector Machine, introduced a more classic, contains a number of Direct Push the idea of learning, algorithm
svm_toolbox
- svm matlab工具箱，经过测试，非常好用！有界面。-svm matlab toolbox, tested, very good! Interface there is.
cccp
- 进行半监督转倒式训练 通过半监督学习进行分类-for semi-supervised maching learning,the paper is 《Large Scale Transductive SVMs》
SemiL
- 利用基于图的分类方法， 半监督学习 ，分类软件。-SemiL is efficient software for solving large scale semi-supervised learning or transductive inference problems using graph based approaches.
step03
- Transductive Support Vector Classification for RNA Related Biological Abstracts
TRAM
- TRAM程序使用MATLAB代码编写实现直推式多标记学习算法。里面包括可读文件和实例。-This package includes the MATLAB codes for transductive multi-label learning algorithm. A Readme file and an example file are included in the package.
svmlightToolbox
- SVM light 工具箱 包含window版本和matlab版本 由美国cornell大学的教授Thorsten Joachims部署 执行SVM二分类 速度明显快于libsvm 下载文件中包含 1.例子(inductive SVM 和 transductive SVM) 2.说明文件 3.源程序-SVM light kit (including window v
SGTlight
- 该代码包实现了直推学习算法(transductive learning),该算法基于kNN的一个扩展。优点是不需要任何启发式诱导，可以防止不收敛或者局部收敛-We present a new method for transductive learning, which can be seen as a transductive version of the k nearest-neighbor classifier.
Maximum-Entropy
- In the distributed processing, where common labeled data may be not available for designing classifier ensemble, however, an ensemble solution is necessary, traditional fixed decision aggregation could not account fo
Hyperspectral-Image-Classification-Through-Bilaye
- Hyperspectral image classification with limited number of labeled pixels is a challenging task. In this paper, we propose a bilayer graph-based learning fr a mework to address this problem. For graph-based classifi
sick
- 迁移学习 领域适应性 机器学习 学习代码(Transfer learning Domain Adaptation Machine Learning Coding study Inductive Learning Transductive Learning)
tsvm
- TSVM直推式支持向量机 TSVM实现直推向量机 设置初始参数 设置核函数类型 将核类型转换为数值参数(transductive-SVM switch to numerical parameter for kernel for RBF kernel change sigma to gamma)