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CoTrade_BANJIANDUFENLEI
- 这是第四代半监督分类代码，带有数据，设置好路径后即可运行，需要具备一定半监督理论基础的学习者使用-This is the fourth generation semi-supervised classification code, with data, you can run After setting the path, you need to have a certain theoretical basis of semi-supervised learners
Graves2008c
- Supervised Sequence Labelling with Recurrent Neural Networks
Code_EnPro
- 基于全映射方法的半监督图像分类算法。基于局部一致性和外部非一致性假设，首先从未标注数据自动产生多种模型。设计方法利用可利用数据对模型进行采样，利用逻辑回归判决学习得到每个模型的映射函数。 基于全局的思想，这里利用联合映射函数值来代表图像。 -Ensemble Projection for Semi-supervised Image Classification
SSELM-and-USELM
- 半监督核无监督极限学习机，用于半监督核无监督学习，比传统方法速度略快，且可以直接应用多分类问题-A semi-supervised nuclear unsupervised extreme learning machine, used for a semi-supervised kernel unsupervised learning, slightly faster than the traditional methods, and can direct application classif
DeepLearning-master
- 深度学习的概念源于人工神经网络的研究。含多隐层的多层感知器就是一种深度学习结构。深度学习通过组合低层特征形成更加抽象的高层表示属性类别或特征，以发现数据的分布式特征表示。[1] 深度学习的概念由Hinton等人于2006年提出。基于深信度网(DBN)提出非监督贪心逐层训练算法，为解决深层结构相关的优化难题带来希望，随后提出多层自动编码器深层结构。此外Lecun等人提出的卷积神经网络是第一个真正多层结构学习算法，它利用空间相对关系减少参数数目以提高训练性能。[1] 深度学习是机器
SSL_MP
- SSL with Measure Propagation: Implementation of Measure Propagation Algorithm introduced in, Subramanya, Amarnag, and Jeff Bilmes. Semi-supervised learning with measure propagation. The Journal of Machine Learning Research 12 (2011): 3311-3370.-SSL w
SSL_PGP
- SSL(Semi-Supervised Learning) with PGP: Implementation of PGP Algorithm introduced in, Fang, Yuan, Kevin Chen-Chuan Chang, and Hady Wirawan Lauw. Graph-based semi-supervised learning: Realizing pointwise smoothness probabilistically. International Co
SSL_LP
- SSL(Semi-Supervised Learning) with GRF: Implementation of Label Propagation Algorithm introduced in, Zhu, Xiaojin, Zoubin Ghahramani, and John Lafferty. Semi-supervised learning using gaussian fields and harmonic functions. ICML. Vol. 3. 2003. (Origi
SSDRnanjin
- SSDA，又名半监督Fisher分析。对模式识别十分重要的作用，有着其独特的优势，对人脸识别有着很好的演示作用。-SSDA, also known as a semi-supervised Fisher analysis. For pattern recognition is an important role, has its unique advantages, has a very good demonstration effect on face recognition.
superviseddescent-master
- 2013年cvpr上SDM进行人脸对齐的c++代码-supervised descend method use face alignment in c++ on 2013 CVPR
Bayesguji
- 用监督参数估计中的贝叶斯方法估计条件概率密度的参数u-Parameter estimation of conditional probability density using Bayesian methods in supervised parameter estimation u
paper1
- A Comparative Evaluation of Deep Belief Nets in Semi-supervised Learning
Multi-class
- 监督学习多分类matlab实现，源码及讲解，很好的学习资料-Multi-supervised learning classification matlab realization, source code and explanation, good learning materials
svm
- 在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, and
svm-seg
- In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a
Supervised-Learning-of-an-Ontology-Alignment-Proc
- Semantic alignment between ontologies is a necessary precondition to establish interoperability between agents or services using different ontologies.
2012011539_homework2
- 模式识别中基于监督的分类方法。贝叶斯、fisher线性判别-Supervised classification method based on pattern recognition. Bayes, fisher linear discriminant
libsvm-3.20
- 在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。-In the field of machine learning, support vector machines SVM (Support Vector Machine) is a supervised learning model is usually used for pattern recognition, classification, a
main
- 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 fit- based on Near Infrared Spectroscopy Gasoline Octane forecast
chapter26
- 有导师学习的神经网络分类-鸳尾花种类识别-Supervised learning neural network classifier- iris species identification