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pro vyhledávání: '"Zsolt Talata"'
Autor:
Zsolt Talata
Publikováno v:
ISIT
For random fields on the d-dimensional integer lattice with finite state space, the basic neighborhood is the smallest region around a site that determines the conditional distribution at the site given the values at all other sites. For variable bas
Autor:
Zsolt Talata, Hee Sun Kim
Publikováno v:
ISIT
Contexts of stationary ergodic sources are considered not necessarily consecutive sequences of symbols of the past. The introduced context set model of a source provides a code that can achieve less parameter redundancy than the code the context tree
Autor:
Tyrone E. Duncan, Zsolt Talata
Publikováno v:
IEEE Transactions on Information Theory. 57:3877-3886
Context trees of arbitrary stationary ergodic processes with finite alphabets are considered. Such a process is not necessarily a Markov chain, so the context tree may be of infinite depth. Calculated from a sample of size n, the Bayesian information
Autor:
Zsolt Talata, Imre Csiszár
Publikováno v:
IEEE Transactions on Information Theory. 56:3637-3641
Stationary ergodic processes with finite alphabets are approximated by finite memory processes based on an n-length realization of the process. Under the assumptions of summable continuity rate and non-nullness, a rate of convergence in d-distance is
Autor:
Adam J. Mellott, Keerthana Devarajan, Michael S. Detamore, Jennifer S. Laurence, M. Laird Forrest, Hinrich Staecker, Eiji Tanaka, Zsolt Talata, Sumihare Noji, David S. Moore, Heather E. Shinogle
The transcription factor atonal homolog 1 (ATOH1) has multiple homologues that are functionally conserved across species and is responsible for the generation of sensory hair cells. To evaluate potential functional differences between homologues, hum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23aa8ccf6b81c1d756fc82823bd2825a
https://europepmc.org/articles/PMC4449705/
https://europepmc.org/articles/PMC4449705/
Autor:
Zsolt Talata, I. Csiszar
Publikováno v:
ISIT
The concept of context tree, usually defined for finite memory processes, is extended to arbitrary stationary ergodic processes (with finite alphabet). These context trees are not necessarily complete, and may be of infinite depth. The familiar Bayes
Autor:
Zsolt Talata
Publikováno v:
Periodica Mathematica Hungarica. 51:99-117
This is a survey of the information criterion approach to model selection problems. New results about context tree estimation and the estimation of the basic neighborhood of Markov random fields are also mentioned.
Hydrogels are attractive for tissue engineering applications due to their incredible versatility, but they can be limited in cartilage tissue engineering applications due to inadequate mechanical performance. In an effort to address this limitation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e32f8281bc20ef6a3d87dc484afae6c1
https://europepmc.org/articles/PMC3773240/
https://europepmc.org/articles/PMC3773240/
Autor:
Zsolt Talata
Publikováno v:
Bernoulli 19, no. 3 (2013), 846-885
Stationary ergodic processes with finite alphabets are estimated by finite memory processes from a sample, an n-length realization of the process, where the memory depth of the estimator process is also estimated from the sample using penalized maxim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e62e1e786d97fed3c21e3e3b42633942
http://projecteuclid.org/euclid.bj/1372251145
http://projecteuclid.org/euclid.bj/1372251145
Autor:
Zsolt Talata
Publikováno v:
ISIT
Stationary ergodic processes with finite alphabets are estimated by finite memory processes from a sample, an n-length realization of the process. Both the transition probabilities and the memory depth of the estimator process are estimated from the