Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Gunther, Jacob H."'
Autor:
Moon, Todd K, Gunther, Jacob H.
Publikováno v:
International Journal on Natural Language Computing (IJNLC), Feb. 24, 2024
Over the years there has been ongoing interest in detecting authorship of a text based on statistical properties of the text, such as by using occurrence rates of noncontextual words. In previous work, these techniques have been used, for example, to
Externí odkaz:
http://arxiv.org/abs/2403.13253
Publikováno v:
In Physical Communication August 2021 47
Akademický článek
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Autor:
Moon, Todd K., Gunther, Jacob H.
International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada
Low-Density Parity-Check (LDPC) codes are powerful codes capable of nearly achieving the Shannon channel capacity. T
Low-Density Parity-Check (LDPC) codes are powerful codes capable of nearly achieving the Shannon channel capacity. T
Externí odkaz:
http://hdl.handle.net/10150/607470
http://arizona.openrepository.com/arizona/handle/10150/607470
http://arizona.openrepository.com/arizona/handle/10150/607470
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Electrical and Computer Engineering Faculty Publications
This report provides details on CSA-SBL(VB) algorithm for the recovery of sparse signals with unknown clustering pattern. More specifically, we deal with the recovery of sparse signals with unknown clustering pattern in the case of having partial err
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1459::3f8142990297ae0620262b9f2d141820
https://digitalcommons.usu.edu/ece_facpub/221
https://digitalcommons.usu.edu/ece_facpub/221
Publikováno v:
Electrical and Computer Engineering Faculty Publications
This report provides details on O-SBL(MCMC) algorithm for the recovery of jointly-sparse signals for the multiple measurement vector (MMV) problem. For the MMVs with this structure, the solution matrix, which is a collection of sparse vectors, is exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cbf944bc099d9574eb784690c4db4a0
Publikováno v:
Electrical and Computer Engineering Faculty Publications
This report tends to provide details on how to perform predictions using Gaussian process regression (GPR) modeling. In this case, we represent proofs for prediction using non-parametric GPR modeling for noise-free predictions as well as prediction u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1459::0d105696ef0b88a1757b4967c8049635
https://digitalcommons.usu.edu/ece_facpub/216
https://digitalcommons.usu.edu/ece_facpub/216
Publikováno v:
Electrical and Computer Engineering Faculty Publications
An introduction to gaussian processes and kriging.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1459::776ba068d1f632940ca3966f36e36d11
https://digitalcommons.usu.edu/ece_facpub/217
https://digitalcommons.usu.edu/ece_facpub/217