Batch Semi-Supervised Self-Organizing Map (Batch SS-SOM) is an extension of a SOM incorporating some advances that came with the rise of Deep Learning, such as batch training . It performs well in terms of accuracy and clustering error, even with a small number of labeled samples, as well as when presented to unsupervised data . It shows competitive results in transfer learning scenarios in traditional image classification benchmark datasets . The results show that it is a good option for semi-supervised classification, clustering and classification . It is expected that they become far more important in the longer term in the long run of the study of machine learning and machine learning . Back to Mail Online home: Back to the page you came from: http://www.mailonlineonline.com/news/newsnews/2013/article/article-news/storystory-story-change-change/story. Back to Back To Mail Online .

Links: PDF - Abstract

Code :

https://github.com/phbraga/batch-sssom

Keywords : learning - semi - supervised - classification - batch -

Leave a Reply

Your email address will not be published. Required fields are marked *