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Overhead-Free In-Place Recovery Scheme for XOR-Based Storage Codes

Author:
Ximing Fu
,
Zhiqing Xiao
,
Shenghao Yang
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/IJCNN.2014.6889733
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1084122
Keyword(s): learning (artificial intelligence),n neural nets,n Q-function,n approximate model-assisted neural fitted Q-iteration,n benchmark cart-pole regulation task,n generalization ability,n learned model,n neural implementation,n standard NFQ,n virtual trajectories,n Approximation algorithms,n Data models,n Robustness,n Standards,n Testing,n Training,n Trajectory
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    Overhead-Free In-Place Recovery Scheme for XOR-Based Storage Codes

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contributor authorXiming Fu
contributor authorZhiqing Xiao
contributor authorShenghao Yang
date accessioned2020-03-12T22:28:14Z
date available2020-03-12T22:28:14Z
date issued2014
identifier other7011294.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1084122
formatgeneral
languageEnglish
publisherIEEE
titleOverhead-Free In-Place Recovery Scheme for XOR-Based Storage Codes
typeConference Paper
contenttypeMetadata Only
identifier padid8221372
subject keywordslearning (artificial intelligence)
subject keywordsn neural nets
subject keywordsn Q-function
subject keywordsn approximate model-assisted neural fitted Q-iteration
subject keywordsn benchmark cart-pole regulation task
subject keywordsn generalization ability
subject keywordsn learned model
subject keywordsn neural implementation
subject keywordsn standard NFQ
subject keywordsn virtual trajectories
subject keywordsn Approximation algorithms
subject keywordsn Data models
subject keywordsn Robustness
subject keywordsn Standards
subject keywordsn Testing
subject keywordsn Training
subject keywordsn Trajectory
identifier doi10.1109/IJCNN.2014.6889733
journal titlerust, Security and Privacy in Computing and Communications (TrustCom), 2014 IEEE 13th International
filesize227472
citations0
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