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pro vyhledávání: '"Katsimerou, Christina"'
Autor:
Provodin, Danil, Akker, Bram van den, Katsimerou, Christina, Kaptein, Maurits, Pechenizkiy, Mykola
In supervised machine learning, privileged information (PI) is information that is unavailable at inference, but is accessible during training time. Research on learning using privileged information (LUPI) aims to transfer the knowledge captured in P
Externí odkaz:
http://arxiv.org/abs/2408.14319
Autor:
Russac, Yoan, Katsimerou, Christina, Bohle, Dennis, Cappé, Olivier, Garivier, Aurélien, Koolen, Wouter
Publikováno v:
NeurIPS 2021, Dec 2021, Virtual, France
Motivated by A/B/n testing applications, we consider a finite set of distributions (called \emph{arms}), one of which is treated as a \emph{control}. We assume that the population is stratified into homogeneous subpopulations. At every time step, a s
Externí odkaz:
http://arxiv.org/abs/2110.15573
Akademický článek
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Autor:
Katsimerou, Christina, Redi, Judith A.
Publikováno v:
Principles & Practice of Multi-Agent Systems (9783319462172); 2016, p74-85, 12p
Autor:
Huldtgren, Alina, Katsimerou, Christina, Kuijsters, Andre, Redi, Judith A., Heynderickx, Ingrid E. J.
Publikováno v:
Inclusive Smart Cities & eHealth; 2015, p15-26, 12p
Publikováno v:
User Modeling, Adaptation & Personalization (9783319087856); 2014, p122-133, 12p
Publikováno v:
Ambient Intelligence - Software & Applications (9783319005652); 2013, p195-204, 10p
Autor:
Charisis, Vasileios S., Katsimerou, Christina, Hadjileontiadis, Leontios J., Liatsos, Christos N., Sergiadis, George D.
Publikováno v:
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems; 2013, p203-208, 6p
Publikováno v:
ACM Transactions on Intelligent Systems and Technology (TIST); April 2016, Vol. 7 Issue: 4 p1-27, 27p