Klęsk P - Search Results

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Can Boosted Randomness Mimic Learning Algorithms of Geometric Nature? Example of a Simple Algorithm That Converges in Probability to Hard-Margin SVM.

Klesk P, Korzen M. Klesk P, et al. IEEE Trans Neural Netw Learn Syst. 2021 Sep;32(9):3798-3818. doi: 10.1109/TNNLS.2021.3059653. Epub 2021 Aug 31. IEEE Trans Neural Netw Learn Syst. 2021. PMID: 33729952

Constant-Time Calculation of Zernike Moments for Detection with Rotational Invariance.

Bera A, Klesk P, Sychel D. Bera A, et al. Among authors: klesk p. IEEE Trans Pattern Anal Mach Intell. 2019 Mar;41(3):537-551. doi: 10.1109/TPAMI.2018.2803828. Epub 2018 Feb 7. IEEE Trans Pattern Anal Mach Intell. 2019. PMID: 29993477

Skew-t fits to mortality data--can a Gaussian-related distribution replace the Gompertz-Makeham as the basis for mortality studies?

Clark JS, Kaczmarczyk M, Mongiało Z, Ignaczak P, Czajkowski AA, Klęsk P, Ciechanowicz A. Clark JS, et al. Among authors: klesk p. J Gerontol A Biol Sci Med Sci. 2013 Aug;68(8):903-13. doi: 10.1093/gerona/gls239. Epub 2012 Dec 10. J Gerontol A Biol Sci Med Sci. 2013. PMID: 23233550

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