Zobrazeno 1 - 10
of 399
pro vyhledávání: '"VIDAL, JAVIER"'
Corruption, fraud, and unethical activities have emerged as significant obstacles to global economic, political, and social progress. Although many empirical studies have focused on country-level corruption metrics, this study is the first to utilize
Externí odkaz:
http://arxiv.org/abs/2310.20028
Autor:
Vidal, Javier
Publikováno v:
Areté. 17(1):237-249
The thesis defended in this paper is that the Higher-Order Thought Theory is actually inconsistent. According to the theory it would be possible to introduce the notion of a second-order quasi-thought from S. Shoemaker's notion of a quasi-memory. On
Externí odkaz:
http://repositorio.pucp.edu.pe/index/handle/123456789/112826
http://revistas.pucp.edu.pe/index.php/arete/article/view/7435/7657
http://revistas.pucp.edu.pe/index.php/arete/article/view/7435/7657
Autor:
Vidal, Javier
Publikováno v:
Areté. 17(2):237-249
The thesis defended in this paper is that theHigher-Order Thought Theory is actually inconsistent. According to the theoryit would be possible to introduce the notion of a second-order quasi-thoughtfrom S. Shoemaker’s notion of a quasi-memory. On t
Externí odkaz:
http://repositorio.pucp.edu.pe/index/handle/123456789/113189
http://revistas.pucp.edu.pe/index.php/arete/article/view/2179/2110
http://revistas.pucp.edu.pe/index.php/arete/article/view/2179/2110
Autor:
López-Vidal, Javier1 (AUTHOR) javierlopezvidal1@gmail.com, Martínez-Pulgarín, Susana1 (AUTHOR) susana.martinezp@algenex.com, Martínez-Alonso, Diego2 (AUTHOR) diego_martinezalonso@dfci.harvard.edu, Cid, Miguel1 (AUTHOR) miguelcidf@gmail.com, Escribano, José M.1 (AUTHOR) jose.escribano@algenex.com
Publikováno v:
Viruses (1999-4915). Jun2024, Vol. 16 Issue 6, p944. 8p.
Autor:
VIDAL, JAVIER1 fravidal@udec.cl
Publikováno v:
Crítica. abr2024, Vol. 56 Issue 166, p51-80. 30p.
Publikováno v:
SAGE Open. Apr-Jun2024, Vol. 14 Issue 2, p1-16. 46p.
Autor:
Vidal, Javier Gil, Theis, Dirk Oliver
The topic area of this paper parameterized quantum circuits (quantum neural networks) which are trained to estimate a given function, specifically the type of circuits proposed by Mitarai et al. (Phys. Rev. A, 2018). The input is encoded into amplitu
Externí odkaz:
http://arxiv.org/abs/1901.11434
Autor:
Vidal, Javier Gil, Theis, Dirk Oliver
Mitarai, Negoro, Kitagawa, and Fujii proposed a type of parameterized quantum circuits, for which they gave a way to estimate derivatives wrt the parameters using only changes in the values of the parameters, not in the circuit itself, i.e., no ancil
Externí odkaz:
http://arxiv.org/abs/1812.06323