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LVQ
- LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式，融合了自组织和有导师监督的技术。-LVQ (LVQ) algorithm : it is Kohonen of supervised learning form of the expansion, integration of self-organization and the technical supervision of instructors.
matlab作业
- 模式识别一份很好的作业,包括线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征,支持向量机-a very good operation, including linear classification; Minimum risk Bayesian classifier; Supervised learning method Hierarchical clustering analysis; K-L transform effective features, supp
apbSrc.tar
- Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer neural networks wh
bpinmatlab
- 这是个基于监督式bp神经网络的分类元程序，希望对大家能有所帮助 -This is a supervised bp based on neural network classification yuan procedures in the hope that we can to help
BDK-SOMPLS
- 有监督自组织映射-偏最小二乘算法(A supervised self-organising map–partial least squares algorithm),可以用语多变量数据的回归分析-supervised self-organizing map - Partial Least Squares (A supervised self-org anising map - partial least squares algorithm) , terms of the multi - var
MRF
- Supervised Image Segmentation Using Markov Random Fields
ssmcmcmatlab
- semi-supervised MCMC classification
quick-supervised-learning-throwaway-code-code(Matl
- 监督学习是机器学习中很重要的一种技术,该压缩包中是一个快速监督学习MatLab的实现程序
select-0[1].3.tar
- 使用具有增量学习的监控式学习方法。包括几个不同的分类算法。-use with incremental learning supervised learning method. Including several different classification algorithm.
LVQ
- LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式。融合了自组织和有导师监督的技术，学习方法是竞争的，但产生方式是有教师监督的，也就是说，竞争学习是在由训练输入指定的各类中局部进行。-LVQ (LVQ) algorithm : it is Kohonen of supervised learning the expansion of the form. The convergence of self-organization and supervision of the ins
c_modify
- 在matlab环境下利用c均值聚类方法解决非监督分类问题-Matlab environment in the use of c-means clustering method to solve the problem of non-supervised classification
co-training
- 半监督学习co-training 回归算法的java代码实现。-COREG is a co-training style semi-supervised regression algorithm, which employs two kNN regressors using different distance metrics to select the most confidently labeled unlabeled examples for each other.
SLLE
- 引入数据类别信息的有监督局部线性嵌入算法，可用于数据分类-Supervised Locally Linear Embedding
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
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
patternRecognition
- 这系列课件系统地讲述了模式识别的基本理论和基本方法。内容涵盖了贝叶斯决策、概率密度函数的估计、线性判别函数、邻近法则、特征的选择和提取、非监督学习、神经网络、模糊模式识别等。-This series of courseware on a pattern recognition system to the basic theory and basic methods. Covers the Bayesian decision-making, the estimated probability de
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
Bias supervised classification
- 基于c++的监督分类，使用贝叶斯分类实现图像的二值分类(Supervised classification based on c++ uses Bias classification to implement the two valued classification of images)