搜索资源列表
sime-kpca
- 基于半监督的核主元分析matlab代码，基于半监督核主元分析matlab代码-Based on the semi-supervised KPCA Matlab code, Based on the semi-supervised KPCA Matlab code
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
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
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 be used to download
192010k-average
- kmeans均值聚类算法:一种改进的基于半监督聚类的入侵检测算法ASCID（Active-learning Semi-supervised Clustering Intrusion Detection），-kmeans clustering algorithm Algorithm was simulated by KDD 99 datasets， which the experimental results demonstrate that ASCID algorithm can impro
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
banjiandu
- 半监督覆盖程序，相关问题参加粗糙集条件属性约简 程序，相关问题参加粗糙集-jueceshuxing
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
lowdensityseparate
- 半监督LDS算法,是由Olivier Chapelle提出来的，他将半监督的流行假设和聚类假设结合起来。 -LDS for Semi-supervised learning，which is proposed by Olivier Chapelle,it combinations the monifold assumption and cluster assumption.
CS4VM
- CS4VM系统是一套用于高效半监督学习。这个包包括了MATLAB算法的CS4VM代码。-CS4VM is a package for efficient cost-sensitive semi-supervised learning. The package includes the MATLAB code of the algorithm CS4VM.
SDA
- 半监督鉴别分析是一种很流行的算法，它利用了现实世界的大量的无标记的数据，并对它们分类-Semi-Supervised Discriminant Analysis (Graph Embedding Way)
MMP
- MMP算法是一种对半监督降维的方法，可用于图像检索，图像分类等方面。-Maximum Margin Projection
ISDA_Matlab
- ISDA 软件的matlab开发版本。用以处理半监督学习的分类问题。-ISDA is an efficient software for solving large-scale machine learning problems by using so-called kernel machines a.k.a support vector machines.
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 to download
ap_semisupervised
- Semi-supervised Affinity Propagation clustering.基于AP聚类的半监督学习算法。-The programs of semi-supervised AP are suitable for the person who has interests in studying or improving AP algorithm, and then the semi-supervised AP may be an example for reference
s4vm
- 该软件包包括半监督算法S4VM，对无标签数据不产生衰退现象，或安全半监督算法的MATLAB代码。-The package includes the MATLAB code of the semi-supervised algorithm S4VM, which towards making unlabeled data never hurt, or safe semi-supervised algorithm.
demoSemiSVR
- 半监督的支撑向量机回归建模方法，代码齐全，可以在数据少的情况下建好模型-semisupervised support vector machine
SSDR
- SSDR是一种用于半监督降维的算法。它考虑到了未标记和成对约束来实现维数降低。-SSDR is a package for semi-supervised dimensionality reduction. This approach works for dimensionality reduction by considering unlabeled data and pairwise constraints.
S3svm
- 半监督支持向量机分类器十折源程序，用于半监督学习-Semi-supervised support vector machine classifier ten fold source for semi-supervised learning
bfgs
- 采用Bfgs算法解决光滑的半监督支持向量机，并采用不同的光滑函数进行比较-Using Bfgs algorithm to solve the smooth semi-supervised support vector machines, and using smooth function to compare different