搜索资源列表
111-30
- 模式识别相关技术，EM算法简介，EM算法是关于半监督学习的一种技术
基于贝叶斯网络的半监督聚类集成模型
- 已有的聚类集算法基本上都是非监督聚类集成算法,这样不能利用已知信息,使得聚类集成的准确性、鲁棒性和稳定性降低.把半监督学习和聚类集成结合起来,设计半监督聚类集成模型来克服这些缺点.主要工作包括:第一,设计了基于贝叶斯网络的半监督聚类集成(semi-supervised cluster ensemble,简称SCE)模型,并对模型用变分法进行了推理求解;第二,在此基础上,给出了EM(expectation maximization)框架下
111-30
- 模式识别相关技术，EM算法简介，EM算法是关于半监督学习的一种技术-Pattern recognition technology, EM algorithm About, EM algorithm is on a semi-supervised learning techniques
ssl_survey
- 关于半监督学习的综述，包括了所有主要方法，比如cotraining算法等等，可以对该领域有一个全面的认识
Semisupervsedalignmenofmanifolds
- 一种半监督流形学习算法，包括相应的文章和代码。-A semi-supervised manifold learning algorithm, including the corresponding article and code.
ssSVMToolbox-Bin.win32.win32.x86
- SSSvm， 半监督学习算法，文档在sourceforge上下载-SSSvm, semi-supervised learning algorithm, the document in the sourceforge download
semi01
- 近三年来半监督学习的国外顶级期刊论文，办监督的最新研究成果-Over the past three years semi-supervised learning of foreign top-level journal articles, to do oversight of the latest research results
81404566ssl_survey
- 基于半监督学习的入侵检测技术研究 聚类程序- Intrusion Detection Algorithm Based on semi-supervised learning
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-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.
harmonic_function
- 大牛所利用的半监督学习算法进行分类使用的调和函数的matlab实现-Daniel, the use of semi-supervised learning algorithm to classify the use of harmonic functions matlab implementation
active_learning
- 综合了主动学习和半监督学习的多项算法，很有价值的学习资料-Combination of active learning and a number of semi-supervised learning algorithm, learning valuable information
Semi-Supervised_Learning_With_SVMs
- 利用支持向量机进行半监督学习的详细的文档，包括了部分伪代码，具有很大的参考价值-Using support vector machine semi-supervised learning of detailed documentation, including some pseudo-code, has great reference value
ssl_survey
- 本文回顾了半监督学习领域的各种算法，并陈述了该领域中的最近进展。-we review the literature on semi-supervised learning,which is an area in machine learning and more generally,artificial intelligence.
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.
CS4VM
- cs4vm算法，是实现半监督学习的较好的方法，能够对多种数据集进行测试，代码中包含例子，下载即可以使用-cs4vm algorithms, semi-supervised learning is to achieve a better way to test a variety of data sets, the code contains examples that can be used to download
meanS3VM
- means3vm算法，matlab 是实现半监督学习的较好的方法，能够对多种数据集进行测试，代码中包含例子，下载即可以使用-means3vm algorithm, matlab is better to achieve semi-supervised learning methods can be tested on a variety of data sets, the code contains examples that can
s4vm
- s4vm算法，matlab 是实现半监督学习的较好的方法，能够对多种数据集进行测试，代码中包含例子，下载即可以使用-s4vm algorithm, matlab is better to achieve semi-supervised learning methods can be tested on a variety of data sets, the code contains examples that can be used
AL-LGC
- 半监督学习，局部与全局一致学习，标签传播 算法
主动半监督K_means聚类算法研究及应用_吕峰.caj
- 基于师生模型实现半监督学习，百万级数据级(Semi supervised learning based on teacher-student model, million data level)