Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rola, Przemysław"'
Deep clustering has been dominated by flat models, which split a dataset into a predefined number of groups. Although recent methods achieve an extremely high similarity with the ground truth on popular benchmarks, the information contained in the fl
Externí odkaz:
http://arxiv.org/abs/2303.03389
Autor:
Baran, Sebastian, Rola, Przemysław
The insurance industry, with its large datasets, is a natural place to use big data solutions. However it must be stressed, that significant number of applications for machine learning in insurance industry, like fraud detection or claim prediction,
Externí odkaz:
http://arxiv.org/abs/2204.06109
Independent Component Analysis (ICA) - one of the basic tools in data analysis - aims to find a coordinate system in which the components of the data are independent. Most of existing methods are based on the minimization of the function of fourth-or
Externí odkaz:
http://arxiv.org/abs/1701.09160
Autor:
Rola, Przemysław
In this paper a finite discrete time market with an arbitrary state space and bid-ask spreads is considered. The notion of an equivalent bid-ask martingale measure (EBAMM) is introduced and the fundamental theorem of asset pricing is proved using (EB
Externí odkaz:
http://arxiv.org/abs/1407.3372
Autor:
Rola, Przemysław1 przemyslaw.rola@outlook.com
Publikováno v:
Annals of Finance. Nov2015, Vol. 11 Issue 3/4, p453-475. 23p. 3 Diagrams.
Autor:
SPUREK, PRZEMYSŁAW, ROLA, PRZEMYSŁAW, TABOR, JACEK, CZECHOWSKI, ALEKSANDER, BEDYCHAJ, ANDRZEJ
Publikováno v:
Schedae Informaticae; 2019, Vol. 28, p25-47, 23p