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stat.ML2015
On the Equivalence of Factorized Information Criterion Regularization and the Chinese Restaurant Process Prior
Shaohua Li
Factorized Information Criterion (FIC) is a recently developed information criterion, based on which a novel model selection methodology, namely Factorized Asymptotic Bayesian (FAB…
stat.ML2015
Factorized Asymptotic Bayesian Inference for Factorial Hidden Markov Models
Shaohua Li, Ryohei Fujimaki, Chunyan Miao
Factorial hidden Markov models (FHMMs) are powerful tools of modeling sequential data. Learning FHMMs yields a challenging simultaneous model selection issue, i.e., selecting the n…