| #2206960 in Books | 2014-11-01 | Original language:English | PDF # 1 | 9.25 x.29 x7.50l, | File type: PDF | 126 pages||About the Author|Google Research, Mountain View, USA
While labeled data is expensive to prepare, ever increasing amounts of unlabeled data is becoming widely available. In order to adapt to this phenomenon, several semi-supervised learning (SSL) algorithms, which learn from labeled as well as unlabeled data, have been developed. In a separate line of work, researchers have started to realize that graphs provide a natural way to represent data in a variety of domains. Graph-based SSL algorithms, which bring together thes...
You easily download any file type for your device.Graph-Based Semi-Supervised Learning (Synthesis Lectures on Artificial Intelligence and Machine Learning) | Amarnag Subramanya, Partha Pratim Talukdar. Which are the reasons I like to read books. Great story by a great author.
