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B1037
Title: Constraint reasoning and optimization for learning optimal graphical models Authors:  Matti Jarvisalo - University of Helsinki (Finland) [presenting]
Abstract: Integration of the fields of constraint solving and machine learning has recently been identified as an important research direction with high potential. Recent work is overviewed on harnessing Boolean satisfiability and optimization procedures to learning optimal structures of graphical models such as Bayesian networks, causal graphs, and chain graphs.