Scalable Structure Learning of Graphical Models
Hypothesis-free learning is increasingly popular given the large amounts of data becoming available. Structure learning, a hypothesis-free approach, of graphical models is a field of growing interest due to the power of such models and lack of domain knowledge when applied on complex real-world data...
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Virginia Tech
2018
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| Online Access: | http://hdl.handle.net/10919/86263 |