no code implementations • 8 Apr 2013 • Dan Lovell, Jonathan Malmaud, Ryan P. Adams, Vikash K. Mansinghka
Applied to mixture modeling, our approach enables the Dirichlet process to simultaneously learn clusters that describe the data and superclusters that define the granularity of parallelization.