搜索资源列表
SDA
- 半监督分类分析。注释有对应的参考文献和使用说明！-Semi-supervised classification analysis. Notes there is the corresponding references and the use of note!
wekaUT.tar
- wekaUT是 university texas austin 开发的基于weka的半指导学习(semi supervised learning)的分类器-university texas austin are wekaUT the development of guidance based on semi-weka study (semi supervised learning) classifier
SDA
- Semi-Supervised Discriminant Analysis (Graph Embedding Way)
COREG
- Semi-supervised learning
Semi-Automated-Outlining
- 半自动勾画图像轮廓的源代码，该程序允许用户勾画和修改图像的轮廓。-Semi-automatic image contours outline the source code, the program allows users to sketch and modify the outline of the image.
enhancing_semi_supervised
- enhancing semi-supervised clustering:a feature projection prespective算法实现-the implementation of the alogrithm described in the paper--- enhancing semi-supervised clustering:a feature projection prespective
InteractiveImageSegmentationbasedonMergingRegion.r
- 基于区域融合的半监督的图像分割算法。首先在背景和前景手动设置初始分割标记，在迭代过程中不断通过区域融合操作获得最大相似度的区域，从而实现目标分割。-Regional integration based on semi-supervised image segmentation. First of all, in the background and foreground segmentation manually set the initial marking, in the iteration
SemiSupervisedLearning
- 第一本全面的半监督学习参考书，里面涵盖了半监督方面的各种算法，应用，以及理论证明-This is a comprehensive reference of semi-surpervised learning, including the algrithms, application, and the proof in theory.
semi-ga
- 半监督遗传算法，基于kmeans的半监督遗传算法-Semi-supervised genetic algorithm, based on the semi-supervised genetic algorithm kmeans
semi-surpervised_learing
- 对传统的支持向量机分类器的改进,利用了半监督学习的方法，可以极大的提高分类效率。-The traditional support vector machine classifiers is improved with a semi-supervised learning methods, can greatly improve classification efficiency.
Introduction_to_semi-supervised_learning
- Introduction to semi-supervised learning
Semi-Supervised-Kernel-Based-Fuzzy
- 研究半监督学习的模糊核聚类方法用于变速箱早期故障诊断的方法。故障特征不明显、样本差异小是机械故障早期检测的 难点， 基于半监督学习的核聚类方法利用少量已知模式的样本， 结合大量未知模式的样本进行半监督学习， 得到较好的识别效果。-In this paper, motion control method of semi-closed CNC method is presented for gear-box fault early detection. The difficulty mach
Semi-supervised-learning
- 义了一个欧氏距离和监督信息相混合的新的最近邻计算函数，从而将K一均值算法很好地应用于半 监督聚类问题。针对K一均值算法初始质心敏感的缺陷，用粒子群算法的搜索空间模拟聚类的欧氏空间，迭代搜 索找到较优的聚类质心，同时提出动态管理种群的策略以提高粒子群算法搜索效率。算法在UCI的多个数据集 上测试都得到了较好的聚类准确率。-Righteousness of a Euclidean distance and supervision of a mixture of new nearest n
Semi-supervised-learning-NJU
- 半监督学习非常好的一篇文章，机器学习重镇，南京大学写的，希望对大家有所帮助！-Semi-supervised learning is very good article, machine learning center, Nanjing University, write, we want to help!
Semi-Supervised-Distance-Metric
- Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval
semi-supervised-SSSVM
- matlab实现的SSSVM（半监督SVM算法）-matlab achieve SSSVM (semi-supervised SVM algorithm)
semi-supervised-algorithm-matlab
- 半监督分类算法，其中有一些例子可供大家使用-semi-supervised algorithm，there are examples you can try。
semi-supervised-cluster-algorithm
- 半监督聚类是利用少量的标记数据提高聚类算法的性能，文中综述了半监督聚类算法的若干进展-Semi supervised clustering is a method to improve the performance of clustering algorithm by using a small amount of labeled data,Some advances about semi supervised clustering algorithms are reviewed in thi
Semi-Supervised-Video-Segmentation
- This file belongs to semi supervised clustering
7----Co-training-A-SEMI-SUPERVISED-ENSEMBLE-LEARN
- 7 - Co-training A SEMI-SUPERVISED ENSEMBLE LEARNING ALGORITHM-6-7 - Co-training A SEMI-SUPERVISED ENSEMBLE LEARNING ALGORITHM-6