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stat.ML2014
MCMC for Hierarchical Semi-Markov Conditional Random Fields
Truyen Tran, Dinh Phung, Svetha Venkatesh +1
Deep architecture such as hierarchical semi-Markov models is an important class of models for nested sequential data. Current exact inference schemes either cost cubic time in sequ…
stat.ML2010★ 23 cited
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data
Tran The Truyen, Dinh Q. Phung, Hung H. Bui +1
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirectedMarkov ch…