Context tree weighting : a sequential universal source coding procedure for FSMX sources

F.M.J. Willems; Y.M. Shtarkov; T.J. Tjalkens

doi:10.1109/ISIT.1993.748374

Context tree weighting : a sequential universal source coding procedure for FSMX sources

F.M.J. Willems
, Y.M. Shtarkov
, T.J. Tjalkens

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

20 Citaten (Scopus)

Samenvatting

A binary FSMX source generates a given sequence of digits from {0, l} whose statistical behavior can be described using a postfix set S. This postfix set is a collection of binary strings which is proper and complete. To weigh an infinite number of models, the authors introduce a principle which says that the model-redundancy has to be proportional to the number of free parameters of the model. It gives us a weighting distribution over all models. A efficient method is outlines that weighs the block probabilities of all models according to this distribution.

Originele taal-2	Engels
Titel	Proceedings of the 1993 IEEE International Symposium on Information Theory
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	59
Aantal pagina's	1
ISBN van geprinte versie	0-7803-0878-6
DOI's	https://doi.org/10.1109/ISIT.1993.748374
Status	Gepubliceerd - 1 jan. 1993
Evenement	1993 IEEE International Symposium on Information Theory, ISIT 1993 - San Antonio, Verenigde Staten van Amerika Duur: 17 jan. 1993 → 22 jan. 1993

Congres

Congres	1993 IEEE International Symposium on Information Theory, ISIT 1993
Verkorte titel	ISIT
Land/Regio	Verenigde Staten van Amerika
Stad	San Antonio
Periode	17/01/93 → 22/01/93

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title = "Context tree weighting : a sequential universal source coding procedure for FSMX sources",

abstract = "A binary FSMX source generates a given sequence of digits from \{0, l\} whose statistical behavior can be described using a postfix set S. This postfix set is a collection of binary strings which is proper and complete. To weigh an infinite number of models, the authors introduce a principle which says that the model-redundancy has to be proportional to the number of free parameters of the model. It gives us a weighting distribution over all models. A efficient method is outlines that weighs the block probabilities of all models according to this distribution.",

author = "F.M.J. Willems and Y.M. Shtarkov and T.J. Tjalkens",

year = "1993",

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doi = "10.1109/ISIT.1993.748374",

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pages = "59",

booktitle = "Proceedings of the 1993 IEEE International Symposium on Information Theory",

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note = "1993 IEEE International Symposium on Information Theory, ISIT 1993, ISIT ; Conference date: 17-01-1993 Through 22-01-1993",

}

Willems, FMJ, Shtarkov, YM & Tjalkens, TJ 1993, Context tree weighting : a sequential universal source coding procedure for FSMX sources. in Proceedings of the 1993 IEEE International Symposium on Information Theory. Institute of Electrical and Electronics Engineers, Piscataway, blz. 59, 1993 IEEE International Symposium on Information Theory, ISIT 1993, San Antonio, Texas, Verenigde Staten van Amerika, 17/01/93. https://doi.org/10.1109/ISIT.1993.748374

Context tree weighting : a sequential universal source coding procedure for FSMX sources. / Willems, F.M.J.; Shtarkov, Y.M.; Tjalkens, T.J.
Proceedings of the 1993 IEEE International Symposium on Information Theory. Piscataway: Institute of Electrical and Electronics Engineers, 1993. blz. 59.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AB - A binary FSMX source generates a given sequence of digits from {0, l} whose statistical behavior can be described using a postfix set S. This postfix set is a collection of binary strings which is proper and complete. To weigh an infinite number of models, the authors introduce a principle which says that the model-redundancy has to be proportional to the number of free parameters of the model. It gives us a weighting distribution over all models. A efficient method is outlines that weighs the block probabilities of all models according to this distribution.

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Context tree weighting : a sequential universal source coding procedure for FSMX sources

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