Scaling Nonparametric Bayesian Inference via Subsample-Annealing. Obermeyer, F., Glidden, J., & Jonas, E. , 2014. abstract bibtex Abstract: We describe an adaptation of the simulated annealing algorithm to nonparametric clustering and related probabilistic models. This new algorithm learns nonparametric latent structure over a growing and constantly churning subsample of training data, where the.
@Article{Obermeyer2014,
author = {Obermeyer, Fritz and Glidden, Jonathan and Jonas, Eric},
title = {Scaling Nonparametric Bayesian Inference via Subsample-Annealing},
journal = {},
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number = {},
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year = {2014},
abstract = {Abstract: We describe an adaptation of the simulated annealing algorithm to nonparametric clustering and related probabilistic models. This new algorithm learns nonparametric latent structure over a growing and constantly churning subsample of training data, where the.},
location = {},
keywords = {}}
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