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Yuri Kalnishkan
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Year
The weak aggregating algorithm and weak mixability
Y Kalnishkan, MV Vyugin
Journal of Computer and System Sciences 74 (8), 1228-1244, 2008
412008
On-line prediction with kernels and the complexity approximation principle
A Gammerman, Y Kalnishkan, V Vovk
arXiv preprint arXiv:1207.4113, 2012
262012
An identity for kernel ridge regression
F Zhdanov, Y Kalnishkan
Theoretical Computer Science 473, 157-178, 2013
252013
Supermartingales in prediction with expert advice
A Chernov, Y Kalnishkan, F Zhdanov, V Vovk
Theoretical Computer Science 411 (29-30), 2647-2669, 2010
222010
The weak aggregating algorithm and weak mixability
Y Kalnishkan, MV Vyugin
Learning Theory: 18th Annual Conference on Learning Theory, COLT 2005 …, 2005
202005
Online regression competitive with changing predictors
S Busuttil, Y Kalnishkan
Algorithmic Learning Theory: 18th International Conference, ALT 2007, Sendai …, 2007
152007
Loss functions, complexities, and the Legendre transformation
Y Kalnishkan, V Vovk, MV Vyugin
Theoretical Computer Science 313 (2), 195-207, 2004
152004
Aggregating algorithm for prediction of packs
D Adamskiy, A Bellotti, R Dzhamtyrova, Y Kalnishkan
Machine Learning 108, 1231-1260, 2019
132019
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
Weighted kernel regression for predicting changing dependencies
S Busuttil, Y Kalnishkan
Machine Learning: ECML 2007: 18th European Conference on Machine Learning …, 2007
122007
Segmentation of electronic dance music
T Scarfe, W Koolen, Y Kalnishkan
International Journal of Engineering Intelligent Systems for Electrical …, 2014
112014
Aggregation algorithm vs. average for time series prediction
W Jamil, Y Kalnishkan, A Bouchachia
102016
Mixability and the existence of weak complexities
Y Kalnishkan, MV Vyugin
Computational Learning Theory: 15th Annual Conference on Computational …, 2002
102002
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
92018
Learning style models and teaching of computer science
Y Kalnishkan
Accessed: Oct 6, 2019, 2005
72005
A criterion for the existence of predictive complexity for binary games
Y Kalnishkan, V Vovk, MV Vyugin
Algorithmic Learning Theory: 15th International Conference, ALT 2004, Padova …, 2004
72004
Supermartingales in prediction with expert advice
A Chernov, Y Kalnishkan, F Zhdanov, V Vovk
Algorithmic Learning Theory: 19th International Conference, ALT 2008 …, 2008
62008
General linear relations between different types of predictive complexity
Y Kalnishkan
Theoretical Computer Science 271 (1-2), 181-200, 2002
62002
On the absence of predictive complexity for some games
Y Kalnishkan, MV Vyugin
Algorithmic Learning Theory: 13th International Conference, ALT 2002 Lübeck …, 2002
62002
General linear relations among different types of predictive complexity
Y Kalnishkan
Algorithmic Learning Theory: 10th International Conference, ALT’99 Tokyo …, 1999
61999
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