Yuri Kalnishkan
Title
Cited by
Cited by
Year
The weak aggregating algorithm and weak mixability
Y Kalnishkan, MV Vyugin
Journal of Computer and System Sciences 74 (8), 1228-1244, 2008
352008
An identity for kernel ridge regression
F Zhdanov, Y Kalnishkan
International Conference on Algorithmic Learning Theory, 405-419, 2010
252010
On-line prediction with kernels and the complexity approximation principle
A Gammerman, Y Kalnishkan, V Vovk
arXiv preprint arXiv:1207.4113, 2012
242012
Supermartingales in prediction with expert advice
A Chernov, Y Kalnishkan, F Zhdanov, V Vovk
Theoretical Computer Science 411 (29-30), 2647-2669, 2010
232010
The weak aggregating algorithm and weak mixability
Y Kalnishkan, MV Vyugin
International Conference on Computational Learning Theory, 188-203, 2005
222005
Online regression competitive with changing predictors
S Busuttil, Y Kalnishkan
International Conference on Algorithmic Learning Theory, 181-195, 2007
162007
Specialist experts for prediction with side information
Y Kalnishkan, D Adamskiy, A Chernov, T Scarfe
2015 IEEE international conference on data mining workshop (ICDMW), 1470-1477, 2015
122015
Loss functions, complexities, and the Legendre transformation
Y Kalnishkan, V Vovk, MV Vyugin
Theoretical Computer Science 313 (2), 195-207, 2004
122004
Aggregating algorithm for prediction of packs
D Adamskiy, A Bellotti, R Dzhamtyrova, Y Kalnishkan
Machine Learning 108 (8), 1231-1260, 2019
112019
Segmentation of electronic dance music
T Scarfe, W Koolen, Y Kalnishkan
International Journal of Engineering Intelligent Systems for Electrical …, 2014
102014
Weighted kernel regression for predicting changing dependencies
S Busuttil, Y Kalnishkan
European Conference on Machine Learning, 535-542, 2007
102007
Aggregation algorithm vs. average for time series prediction
W Jamil, Y Kalnishkan, A Bouchachia
82016
Mixability and the existence of weak complexities
Y Kalnishkan, MV Vyugin
International Conference on Computational Learning Theory, 105-120, 2002
82002
Robustness against unknown noise for raw data fusing neural networks
M Bijelic, C Muench, W Ritter, Y Kalnishkan, K Dietmayer
2018 21st International Conference on Intelligent Transportation Systems …, 2018
72018
Learning style models and teaching of computer science
Y Kalnishkan
Accessed: Oct 6, 2019, 2005
72005
General linear relations among different types of predictive complexity
Y Kalnishkan
International Conference on Algorithmic Learning Theory, 323-334, 1999
71999
Supermartingales in prediction with expert advice
A Chernov, Y Kalnishkan, F Zhdanov, V Vovk
International Conference on Algorithmic Learning Theory, 199-213, 2008
62008
A criterion for the existence of predictive complexity for binary games
Y Kalnishkan, V Vovk, MV Vyugin
International Conference on Algorithmic Learning Theory, 249-263, 2004
62004
On the absence of predictive complexity for some games
Y Kalnishkan, MV Vyugin
International Conference on Algorithmic Learning Theory, 164-172, 2002
62002
General linear relations between different types of predictive complexity
Y Kalnishkan
Theoretical computer science 271 (1-2), 181-200, 2002
62002
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Articles 1–20