搜索资源列表
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, an
SVDFeature
- 自己开发的一个机器学习算法，整合了监督学习，非监督学习-A machine learning algorithm own development, integration of supervised learning, unsupervised learning
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
svm_python
- 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。本程序是SVM的python实现，用的是SMO算法。只能进行分类，并且能够显示图形结果。-In the field of machine learning, support vector machines SVM (Support Vector Machine) is a supervised learning model is usually use
semi-supervised-cluster-algorithm
- 半监督聚类是利用少量的标记数据提高聚类算法的性能，文中综述了半监督聚类算法的若干进展-Semi supervised clustering is a method to improve the performance of clustering algorithm by using a small amount of labeled data,Some advances about semi supervised clustering algorithms are reviewed in thi
NJU-SSDR
- 半监督判别分析（SSDR），是南京大学数据挖掘研究所提出的一种新的半监督降维算法，对于数据挖掘和类别样本的获取有着十分重要的借鉴价值。-A semi-supervised discriminant analysis (SSDR), is one of the types of data mining research institute of nanjing university puts forward new a semi-supervised dimensionality reductio
LDA_ FDA_with_tutorial
- LDA降维是常用的降维手段之一，是常用的有监督学习降维工具。这个文件对其产生W后的使用进行了简要说明，使用W进行最终的降维可以得到十分漂亮的分析结果（在数据分布符合假设分析的情况下。）(LDA dimension reduction is one of the commonly used dimensionality reduction methods. It is a commonly used supervised learning dimensionality reduction tool