Algorithms for high order hidden Markov modelling
dc.contributor.author | du Preez J.A. | |
dc.date.accessioned | 2011-05-15T15:57:31Z | |
dc.date.available | 2011-05-15T15:57:31Z | |
dc.date.issued | 1997 | |
dc.description.abstract | We detail an algorithm that transforms any higher order hidden Markov model (HMM) to an equivalent first order HMM. This makes it possible to process higher order HMMs with standard techniques applicable to first order models. Based on this equivalence, a fast incremental algorithm is developed for training higher order HMMs from lower order approximations, thereby avoiding the training of redundant parameters. This makes training of high order HMMs practical for many applications. | |
dc.description.version | Conference Paper | |
dc.identifier.citation | Proceedings of the South African Symposium on Communications and Signal Processing, COMSIG | |
dc.identifier.uri | http://hdl.handle.net/10019.1/10443 | |
dc.subject | Approximation theory | |
dc.subject | Markov processes | |
dc.subject | Mathematical models | |
dc.subject | Fast incremental algorithms | |
dc.subject | Hidden Markov model (HMM) | |
dc.subject | Algorithms | |
dc.title | Algorithms for high order hidden Markov modelling | |
dc.type | Conference Paper |