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pro vyhledávání: '"Prabhu, Gayathri R."'
We consider a multi-hypothesis testing problem involving a K-armed bandit. Each arm's signal follows a distribution from a vector exponential family. The actual parameters of the arms are unknown to the decision maker. The decision maker incurs a del
Externí odkaz:
http://arxiv.org/abs/2007.12961
The problem of detecting an odd arm from a set of K arms of a multi-armed bandit, with fixed confidence, is studied in a sequential decision-making scenario. Each arm's signal follows a distribution from a vector exponential family. All arms have the
Externí odkaz:
http://arxiv.org/abs/1712.03682
In this Communication, we express our reservations on some aspects of the interpretation of the Lempel-Ziv Complexity measure (LZ) by Mateo et al. in "Interpretation of the Lempel-Ziv complexity measure in the context of biomedical signal analysis,"
Externí odkaz:
http://arxiv.org/abs/1308.0130
Autor:
Balasubramanian, Karthi, Prabhu, Gayathri R., K., Lakshmipriya V., Krishnan, Maneesha, R., Praveena, Nagaraj, Nithin
Data compression algorithms are generally perceived as being of interest for data communication and storage purposes only. However, their use in the field of data classification and analysis is also of equal importance. Automatic data classification
Externí odkaz:
http://arxiv.org/abs/1205.4886
Akademický článek
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Publikováno v:
2015 28th International Conference on VLSI Design; 2015, p345-350, 6p
Autor:
Prabhu, Gayathri R, Sheeba Rani J
Publikováno v:
2014 IEEE International Conference on Advanced Communications, Control & Computing Technologies; 2014, p468-472, 5p
Publikováno v:
International Journal of Reconfigurable Computing; 2014, p1-9, 9p