Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Kaan Gokcesu"'
Publikováno v:
IEEE Transactions on Wireless Communications
In this article, we address the scheduling problem in wireless ad hoc networks by exploiting the computational advantage that comes when scheduling problems can be represented by claw-free conflict graphs where we consider a wireless broadcast medium
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c672fe09c6d988bd93bc914047ab040b
https://doi.org/10.1109/twc.2020.3025448
https://doi.org/10.1109/twc.2020.3025448
Autor:
Huseyin Ozkan, Kaan Gokcesu, Mohammadreza Mohaghegh Neyshabouri, Hakan Gökcesu, Suleyman S. Kozat
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems
We propose an online algorithm for sequential learning in the contextual multiarmed bandit setting. Our approach is to partition the context space and, then, optimally combine all of the possible mappings between the partition regions and the set of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3679e43584e852bae8ba5e5b11fb280f
https://doi.org/10.1109/tnnls.2018.2854796
https://doi.org/10.1109/tnnls.2018.2854796
Publikováno v:
IEEE Sensors Journal. 19:214-223
One of the biggest issues encountered in the analysis of sensitive electromyography (EMG) sensor data is the power line interference (PLI). Conventional methods in literature either lose valuable sensor data or inadequately decrease the power line no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d73f8f2b21a394b097a9986b6a8551bb
https://doi.org/10.1109/jsen.2018.2874724
https://doi.org/10.1109/jsen.2018.2874724
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems. 12:68-79
Wearable technology has gained increasing popularity in the applications of healthcare, sports science, and biomedical engineering in recent years. Because of its convenient nature, the wearable technology is particularly useful in the acquisition of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82e8aa7c984db8693fcf9db39170b311
https://doi.org/10.1109/tbcas.2017.2757400
https://doi.org/10.1109/tbcas.2017.2757400
Publikováno v:
IEEE Transactions on Signal Processing
We investigate the adversarial bandit problem with multiple plays under semi-bandit feedback. We introduce a highly efficient algorithm that asymptotically achieves the performance of the best switching $m$ -arm strategy with minimax optimal regret b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::817bc843f0cfa4fd4a7eedc9c20ae3d4
Publikováno v:
Topics in Economics, Business and Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0277b66b8cceba2f5d2df4854c5771d1
https://doi.org/10.26480/icefs.01.2018.79.81
https://doi.org/10.26480/icefs.01.2018.79.81
Autor:
Kaan Gokcesu, Suleyman S. Kozat
Publikováno v:
IEEE Transactions on Signal Processing
We introduce a truly online anomaly detection algorithm that sequentially processes data to detect anomalies in time series. In anomaly detection, while the anomalous data are arbitrary, the normal data have similarities and generally conforms to a p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44397cdfe0d9e71555e7f9cb4953f4e6
https://aperta.ulakbim.gov.tr/record/36895
https://aperta.ulakbim.gov.tr/record/36895
Autor:
Kaan Gokcesu, Suleyman S. Kozat
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems
We investigate the adversarial multiarmed bandit problem and introduce an online algorithm that asymptotically achieves the performance of the best switching bandit arm selection strategy. Our algorithms are truly online such that we do not use the g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88981a6cf172f67e596abd2adf90210f
https://hdl.handle.net/11693/50275
https://hdl.handle.net/11693/50275
Autor:
Suleyman S. Kozat, Kaan Gokcesu
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems
We investigate online probability density estimation (or learning) of nonstationary (and memoryless) sources using exponential family of distributions. To this end, we introduce a truly sequential algorithm that achieves Hannan-consistent log-loss re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f838ff17d2eb520e7f11fc57bc43af2a
https://aperta.ulakbim.gov.tr/record/30685
https://aperta.ulakbim.gov.tr/record/30685
Publikováno v:
SIU
Proceedings of the IEEE 25th Signal Processing and Communications Applications Conference, SIU 2017
Proceedings of the IEEE 25th Signal Processing and Communications Applications Conference, SIU 2017
Date of Conference: 15-18 May 2017 Conference Name: IEEE 25th Signal Processing and Communications Applications Conference, SIU 2017 In this paper, we study the adversarial multi armed bandit problem and present a generally implementable efficient ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e48021e61ae42005a6bd70297d0f2000
https://doi.org/10.1109/siu.2017.7960214
https://doi.org/10.1109/siu.2017.7960214