An inclusion optimal algorithm for chain graph structure learning
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چکیده
This paper presents and proves an extension of Meek’s conjecture to chain graphs under the Lauritzen-Wermuth-Frydenberg interpretation. The proof of the conjecture leads to the development of a structure learning algorithm that finds an inclusion optimal chain graph for any given probability distribution satisfying the composition property. Finally, the new algorithm is experimentally evaluated.
منابع مشابه
Appendix of “An inclusion optimal algorithm for chain graph structure learning”
We show below an example run of the operation Fbsplit(K, L, G) presented in Figure 1 of the main text.
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تاریخ انتشار 2014