Paper

PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems

In the big data era, scalability has become a crucial requirement for any useful computational model. Probabilistic graphical models are very useful for mining and discovering data insights, but they are not scalable enough to be suitable for big data problems... (read more)

Results in Papers With Code
(↓ scroll down to see all results)