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CausNet : Generational orderings based search for optimal Bayesian networks via dynamic programming with parent set constraints

2022-07-18

Abstract excerpt

<h4>Background: </h4> Finding a globally optimal Bayesian Network using exhaustive search is a problem with super-exponential complexity, which severely restricts the number of variables that it can work for. We implement a dynamic programming based algorithm with built-in dimensionality reduction and parent set identification. This reduces the search space drastically and can be applied to large-dimensional data....

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Literature Corpus work
4b4c47eb-9bb0-55b9-b2b0-f39f5c980b97
DOI
10.21203/rs.3.rs-1867899/v1
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CausNet : Generational orderings based search for optimal Bayesian networks via dynamic programming with parent set constraintsDOI 10.21203/rs.3.rs-1867899/v1
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