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BayesPiles
2018
ACM Transactions on Intelligent Systems and Technology
We address the problem of exploring, combining and comparing large collections of scored, directed networks for understanding inferred Bayesian networks used in biology. In this eld, heuristic algorithms explore the space of possible network solutions, sampling this space based on algorithm parameters and a network score that encodes the statistical t to the data. e goal of the analyst is to guide the heuristic search and decide how to determine a nal consensus network structure, usually by
doi:10.1145/3230623
fatcat:vwu2n53jtze5fiyk7a4pkgcqwe