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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.
demoSSKOSP
- 半监督正交子空间投影，带有核变换，很新的算法，做图像处理很有用。-The kernel OSP (KOSP) has recently demonstrated improved results for target detection in hyperspectral images. We present a semi-supervised graph-based approach to improve KOSP.
SVM3
- A support vector machine (SVM) is a concept in statistics and computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis.
pattern-recognition
- 模式识别的内容，包括模式识别的基本概念、模式识别方法及应用。具体的内容包括：正则化网络、Bayes决策理论、分类器组合、统计学习理论、概率密度估计、非监督学习方法-Pattern recognition, including the basic concepts of pattern recognition, pattern recognition methods and applications.Specific content, including: Regularization Netwo
metric-learning_survey_v2
- 关于metric learning的综述，涉及到许多的知识：SVM、kernel、SDP等-This paper surveys the field of distance metric learning from a principle perspective, and includes a broad selection of recent work. In particular, distance metric learning is reviewed under different
TriTrain
- 周志华提出的Tri-Training源代码，利用三个分类器的半监督学习方法，Java版本-Zhou Zhihua proposed by the Tri-Training source code, use semi-supervised learning method, the Java version of the three classifiers
polsarpro_lecturecourse
- 雷达极化分类软件使用指导书，可以用于监督分类非监督分类。-Radar Polarimetric classification of software instructions can be used for unsupervised classification of the supervised classification.
ImageClassfy
- 遥感图像的监督分类isodata，课程设计时写的代码-Supervised classification of remote sensing images, curriculum design, write code
Diversity-density-learning-algorithm
- 多示例学习是与监督学习、非监督学习和强化学习并列的第四类学习框架-Multi-instance learning with supervised learning, unsupervised learning and strengthen the learning parallel learning framework
New-Folder
- Multiple-Instance Learning for Weakly Supervised Object Categorization
classification
- 有导师学习神经网络的分类，用于聚类分类，统计问题-Supervised learning neural network classification, for clustering classification, and statistical issues
infrared-spectroscopy-to-predict
- 有导师学习神经网络的回归拟合——基于近红外光谱的汽油辛烷值预测-Supervised learning neural network regression- based on the gasoline octane number of the near-infrared spectroscopy to predict
iris-species-identification
- 有导师学习神经网络的分类——鸢尾花种类识别-Supervised learning neural network classification- iris species identification
Support-vector-machine-
- 利用谱聚类方法在特 征向量空间中对原始样本数据进行重新表述使得在新表述中同一聚类中的样本能够更好地积聚在一起构建聚类核函数 并进而构造聚类核半监督支持向量机 使样本更好地满足半监督学习必须遵循的聚类假设 -Restated in the new formulation in the same cluster sample be better able to accumulate together to build the clustering of nuclear function and
based-on-random-walk
- 随机游走在计算机学科的信息检索领域已经得到了成功的应用，现在正被 越来越多地应用到机器学习和数据挖掘等领域。在此背景下，我们提出图上的 随机游走学习，创造性地将随机游走作为一项基本技术，用于改善传统的有监 督学习，半监督学习和无监督学习中的困难问题-Random walk has been successfully applied in computer science, information retrieval, is now being increasingly applied
ssl_survey
- 机器学习中半监督学习算法，最近研究比较热的关于图的算法的综述-semi-supervised learning literature survey
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
MIMO-OFDM-Adaptation
- Adaptation in Convolutionally-Coded MIMO-OFDM Wireless Systems through Supervised Learning and SNR Ordering
classified
- 基于有监督分类的地物识别的编程实现，实现分类后的地物区别-Based on the supervised classification of feature identification programming implementation
nbem.tar
- Naive bayes classifer的具体实现，使用多模态事件模型表示，提供EM算法用于半监督和无监督学习，最大似然估计用于有监督学习-The Naive bayes classifer implementation, using a multi-modal event model EM algorithm for semi-supervised and unsupervised learning, maximum likelihood estimation for supervised