Zobrazeno 1 - 10
of 4 125
pro vyhledávání: '"David, Adam"'
Autor:
Białokur, Marek
Publikováno v:
Wieki Stare i Nowe / The Old and New Ages. 20(15):167-177
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=947418
As the problem of minimizing functionals on the Wasserstein space encompasses many applications in machine learning, different optimization algorithms on $\mathbb{R}^d$ have received their counterpart analog on the Wasserstein space. We focus here on
Externí odkaz:
http://arxiv.org/abs/2406.08938
Autor:
Marek Białokur
Publikováno v:
Wieki Stare i Nowe. 15:167-177
Książka Ukryty geniusz. Pigułki na rozum, hakerzy mózgu i sekrety inteligencji Davida Adama to pozycja wpisująca się w trend wydawniczy do publikowania książek przez znanych i cenionych historyków i popularyzatorów nauki, jak np. Niall Ferg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b7d45c8a71d3f2916c300ebea1093c4
https://doi.org/10.31261/wsn.2020.20.11
https://doi.org/10.31261/wsn.2020.20.11
Autor:
Kennedy, Joyce, Kennedy, Michael, Rutherford-Johnson, Tim
Publikováno v:
The Oxford Dictionary of Music, 6 ed., 2013.
Externí odkaz:
http://www.oxfordreference.com/view/10.1093/acref/9780199578108.001.0001/acref-9780199578108-e-1496
Autor:
Dippmann, Jeffrey
Publikováno v:
China Review International, 2014 Jan 01. 21(3/4), 265-268.
Externí odkaz:
https://www.jstor.org/stable/44136643
Autor:
Korda, David Adam, Bibok, Andras, Doros, Attila, Horvathy, Denes, Hahn, Oszkar, Kokas, Balint, Pekli, Damjan, Meltzer, Anna Zsofia, Szijarto, Attila, Nadasdy-Horvath, Domonkos, Deak, Pal Akos
Publikováno v:
In European Journal of Radiology Open December 2024 13
Autor:
Roetger, Abby E., McKinney, Christopher D., Winter III, De B., Lewis, Charmaine, Swiger, Kristopher, Corbett, Claire M., Hall, Gregory, David, Adam, Gratton, Austin
Publikováno v:
In Heliyon 30 October 2024 10(20)
Autor:
Amir Pandi, David Adam, Amir Zare, Van Tuan Trinh, Stefan L. Schaefer, Marie Burt, Björn Klabunde, Elizaveta Bobkova, Manish Kushwaha, Yeganeh Foroughijabbari, Peter Braun, Christoph Spahn, Christian Preußer, Elke Pogge von Strandmann, Helge B. Bode, Heiner von Buttlar, Wilhelm Bertrams, Anna Lena Jung, Frank Abendroth, Bernd Schmeck, Gerhard Hummer, Olalla Vázquez, Tobias J. Erb
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)
Abstract Bioactive peptides are key molecules in health and medicine. Deep learning holds a big promise for the discovery and design of bioactive peptides. Yet, suitable experimental approaches are required to validate candidates in high throughput a
Externí odkaz:
https://doaj.org/article/adbbacf7db9c45aca2f0981cf0f79344