Bayesian network structure learning for the uncertain experimentalist : with applications to network biology
In this work, we address both the computational and modeling aspects of Bayesian network structure learning. Several recent algorithms can handle large networks by operating on the space of variable orderings, but for technical reasons they cannot compute many interesting structural features and...
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| Language: | English |
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University of British Columbia
2011
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| Online Access: | http://hdl.handle.net/2429/31610 |