搜索资源列表
对偶
- 对偶传播神经网络,有监督和无监督相结合的一种神经网络-dual-propagation neural networks, supervised and unsupervised combination of a neural network
SpikeLM
- SpikeLM: A Second-Order Supervised Learning Algorithm for Training Spiking Neural Networks Introduction Preliminaries SpikeLM algorithm Experimental validation Conclusions
svm_perf.tar.gz
- SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1,y1), ..., (xn,yn). Unlike regula
stanford-ner-2007-11-05
- 斯坦福大学开发的命名实体识别源码，支持英文-Stanford NER- September 2006 ---------------------------------------------- This package provides a high-performance machine learning based named entity recognition system, including facilities to train models from su
isodata
- 非监督分类程序，采用isodata算法，分类自组织迭代分类算法。-Non-supervised classification procedures, using ISODATA algorithm, iterative classification of self-organization classification algorithm.
unsupervisedClassification
- 非监督分类程序，MATLAB环境，采用K均值算法，通过初始聚类中心逐次迭代而得到所要分类，并输出分类后的图像。-Non-supervised classification procedures, MATLAB environment, using K-means algorithm, the initial cluster center through successive iterations to be classified, and the output classification im
ISODATA2
- ISODATA算法是一种基于统计模式识别的，非常经典的非监督学习动态聚类算法，有较强的实用性。ISODATA算法不仅可以通过调整样本所属类别完成样本的聚类分析，而且可以自动地进行类别的“合并”和“分裂”，从而得到类数比较合理的聚类结果。-ISODATA algorithm is based on statistical pattern recognition, and very classic dynamic clustering of non-supervised learning algor
SDA
- Semi-Supervised Discriminant Analysis (Graph Embedding Way)
GA1E1
- 用Ｋ均值和遗传算法实现了半监督聚类算法，这是个一个已经发表的论文的源程序-Using K-means and genetic algorithm to achieve a semi-supervised clustering algorithm, this is a paper published source
Semi-Automated-Outlining
- 半自动勾画图像轮廓的源代码，该程序允许用户勾画和修改图像的轮廓。-Semi-automatic image contours outline the source code, the program allows users to sketch and modify the outline of the image.
svm_perf
- SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1,y1), ..., (xn,yn). Unlike reg
pcaexpressprot
- We propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). PCA is used for dimensionality red
knnPcaWithGA
- In this code I have used GA in supervised PCA to find the best coeficients for overall covariance. the classification is made by K-In this code I have used GA in supervised PCA to find the best coeficients for overall covariance. the classification i
C1
- 本内容属于本人参编课本《新概念C语言程序设计》的开始章节压缩版本，仅供C语言爱好者参考-I supervised the part of the contents of textbooks, " the new concept of C language programming," the beginning of the compressed version of the chapter, only C language aficionados
semi-ga
- 半监督遗传算法，基于kmeans的半监督遗传算法-Semi-supervised genetic algorithm, based on the semi-supervised genetic algorithm kmeans
Semi-Supervised_Learning_With_SVMs
- 利用支持向量机进行半监督学习的详细的文档，包括了部分伪代码，具有很大的参考价值-Using support vector machine semi-supervised learning of detailed documentation, including some pseudo-code, has great reference value
SCRUM)
- SCRUM 敏捷项目管理 极限编程 硝烟中-SCRUM Extreme Programming Agile project management smoke
Introduction_to_semi-supervised_learning
- Introduction to semi-supervised learning
Machine learning
- ML supervised Learning
2-Supervised Learning
- 2-Supervised Learning