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内部出版物
在“
Elsevier电子期刊
”中,
命中:
187
条,耗时:小于0.01 秒
1.
Opportunistic network coding for secondary users in cognitive radio networks
作者:
Yuben Qu
;
a
;
b
;
quyuben@gmail.com
Author Vitae
;
Chao Dong
a
;
dch999@gmail.com
Author Vitae
;
Shaojie Tang
c
Author Vitae
;
Chen Chen
a
Author Vitae
;
Haipeng Dai
d
Author Vitae
;
Hai Wang
a
Author Vitae
;
Chang Tian
a
Author Vitae
关键词:
Network coding
;
Cognitive radio networks
;
Multicast
;
Multi-armed
bandit
s
刊名:Ad Hoc Networks
出版年:2017
2.
Decision making policy for RF energy harvesting enabled cognitive radios in decentralized wireless networks
作者:
Sumit J. Darak
a
;
Sumit@iiitd.ac.in" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Honggang Zhang
b
;
honggangzhang@zju.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Jacques Palicot
c
;
Jacques.Palicot@centralesupelec.fr" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Christophe Moy
c
;
Christophe.Moy@centralesupelec.fr" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Decision making policy
;
Multi-armed
bandit
algorithms
;
Radio frequency energy harvesting
;
Thompson sampling
刊名:Digital Signal Processing
出版年:2017
3.
Proteomic analysis reveals contrasting stress response to uranium in two nitrogen-fixing Anabaena strains, differentially tolerant to uranium
作者:
Bandit
a Panda
;
Bhakti Basu
;
Celin Acharya
;
Hema Rajaram
;
Shree Kumar Apte
;
aptesk@barc.gov.in
;
sksmbd@barc.gov.in
关键词:
Uranium exposure
;
Diazotrophic cyanobacteria
;
Anabaena 7120
;
Anabaena L-31
;
Proteomic response
;
Photosynthesis
;
Oxidative stress
刊名:Aquatic Toxicology
出版年:2017
4.
Bandit
online optimization over the permutahedron
作者:
Nir Ailon
a
;
nailon@cs.technion.ac.il" class="auth_mail" title="E-mail the corresponding author
;
Kohei Hatano
b
;
hatano@inf.kyushu-u.ac.jp" class="auth_mail" title="E-mail the corresponding author
;
Eiji Takimoto
b
;
eiji@inf.kyushu-u.ac.jp" class="auth_mail" title="E-mail the corresponding author
关键词:
Combinatorial online prediction
;
Bandit
;
Permutation
;
Permutahedron
刊名:Theoretical Computer Science
出版年:2016
5.
Multi-armed
bandit
problem with known trend
作者:
Djallel Bouneffouf
a
;
dbouneffouf@bcgsc.ca" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Raphael Fé
;
raud
b
;
Raphael.feraud@orange.com" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Multi-armed
bandit
;
Online learning
;
Recommender systems
刊名:Neurocomputing
出版年:2016
6.
Adaptive Normal Two-Armed
Bandit
and Data Processing Optimization
*
作者:
Alexander V. Kolnogorov
*
;
Alexander.Kolnogorov@novsu.ru" class="auth_mail" title="E-mail the corresponding author
关键词:
Two-armed
bandit
problem
;
control in a random environment
;
minimax
;
Bayesian approaches
;
parallel processing
;
an asymptotic minimax theorem
刊名:IFAC-PapersOnLine
出版年:2016
7.
Sleeping experts and
bandit
s approach to constrained Markov decision processes
作者:
Hyeong Soo Chang
1
;
hschang@sogang.ac.kr" class="auth_mail" title="E-mail the corresponding author
关键词:
Markov decision processes
;
Sleeping experts and
bandit
s
;
Learning algorithm
;
Constrained optimization
刊名:Automatica
出版年:2016
8.
A Generalization of Robust Normal Two-Armed
Bandit
*
作者:
Alexander V. Kolnogorov
*
;
Alexander.Kolnogorov@novsu.ru" class="auth_mail" title="E-mail the corresponding author
关键词:
Two-armed
bandit
problem
;
control in a random environment
;
minimax and Bayesian approaches
;
group processing
;
an asymptotic minimax theorem
刊名:IFAC-PapersOnLine
出版年:2016
9.
Efficient task assignment for spatial crowdsourcing: A combinatorial fractional optimization approach with semi-
bandit
learning
作者:
Umair ul Hassan
;
umair.ulhassan@insight-centre.org" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Edward Curry
edward.curry@insight-centre.org" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Spatial crowdsourcing
;
Task assignment
;
Combinatorial fractional programming
;
Multi-armed
bandit
刊名:Expert Systems with Applications
出版年:2016
10.
LinUCB applied to Monte Carlo tree search
作者:
Yusaku Mandai
;
mandai@graco.c.u-tokyo.ac.jp" class="auth_mail" title="E-mail the corresponding author
;
Tomoyuki Kaneko
关键词:
MCTS
;
Multi-armed
bandit
problem
;
Contextual
bandit
;
LinUCB
刊名:Theoretical Computer Science
出版年:2016
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