Graph-Based Semi-Supervised Learning With Big Data
Prithish Banerjee, Mark Vere Culp, Kenneth Jospeh Ryan, George C. Michailidis · Advances in computational intelligence and robotics book series · 2017
This chapter presents some popular graph-based semi-supervised approaches. These techniques apply to classification and regression problems and can be extended to big data problems using recently developed anchor graph enhancements. The background necessary for understanding this Chapter includes linear algebra and optimization. No prior knowledge in methods of machine learning is necessary. An empirical demonstration of the techniques for these methods is also provided on real data set benchmarks.