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cs.LG2012★ 34 cited
Exploiting compositionality to explore a large space of model structures
Roger Grosse, Ruslan R Salakhutdinov, William T. Freeman +1
The recent proliferation of richly structured probabilistic models raises the question of how to automatically determine an appropriate model for a dataset. We investigate this que…
cs.LG2012★ 14 cited
Structured Priors for Structure Learning
Vikash Mansinghka, Charles Kemp, Thomas Griffiths +1
Traditional approaches to Bayes net structure learning typically assume little regularity in graph structure other than sparseness. However, in many cases, we expect more systemati…