Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Fernando de Meer"'
Autor:
Pardo, Fernando De Meer, Lehmann, Claude, Gehrig, Dennis, Nagy, Andrea, Nicoli, Stefano, Misheva, Branka Hadji, Braschler, Martin, Stockinger, Kurt
In this paper, we present an end-to-end multi-source Entity Matching problem, which we call entity group matching, where the goal is to assign to the same group, records originating from multiple data sources but representing the same real-world enti
Externí odkaz:
http://arxiv.org/abs/2406.15015
Autor:
Fernando de Meer
Publikováno v:
Memoria y Civilización, Vol 12, Iss , Pp 342-345 (2009)
Externí odkaz:
https://doaj.org/article/3f3bd95fbe9643e4bf21048e8bfe2b63
In this article, we develop a modular framework for the application of Reinforcement Learning to the problem of Optimal Trade Execution. The framework is designed with flexibility in mind, in order to ease the implementation of different simulation s
Externí odkaz:
http://arxiv.org/abs/2208.06244
Autor:
Ricardo Córdoba de la Llave, Albrecht Graf Von Kalnein, Antón M. Pazos, Juan Sisinio Pérez Garzón, Fernando García Sanz, Cristóbal Robles Muñoz, Ana Aguado, Xosé R. Veiga Alonso, Eduardo González Calleja, Klaus Reinhardt, Martín Alvira Cabrer, Betsabé Caunedo del Potro, Carlos Estepa Diez, Miguel Ángel García Sánchez, Enrique Giménez López, Juan C. Gay Armenteros, Manuel Chust Calero, Francisco Fernández Izquierdo, Fernando de Meer
Publikováno v:
Hispania, Vol 63, Iss 215, Pp 1101-1183 (2003)
Externí odkaz:
https://doaj.org/article/b06b25d5b3604bd3a81f98bd24b834a1
Autor:
Fernando de Meer
Publikováno v:
Memoria y Civilización, Vol 12, Iss , Pp 347-349 (2009)
Externí odkaz:
https://doaj.org/article/a2913774fa7f4d53a7be2f896d2d25ef
Autor:
Fernando de Meer
Publikováno v:
Memoria y Civilización, Vol 3, Iss , Pp 443-445 (2000)
Externí odkaz:
https://doaj.org/article/de3c66cd50e3407d9af98473c895235f
Autor:
Fernando de Meer
Publikováno v:
Memoria y Civilización, Vol 3, Iss , Pp 449-451 (2000)
Externí odkaz:
https://doaj.org/article/fca604dac0804709bdc00b34c4524c2d
Autor:
Fernando de Meer
Publikováno v:
Memoria y Civilización, Vol 5, Iss , Pp 405-406 (2002)
Externí odkaz:
https://doaj.org/article/a52c8a0f121b4750b4ce60a40a0df112
Publikováno v:
The Journal of Financial Data Science. 4:110-132
Generative adversarial networks (GANs) have been shown to be able to generate samples of complex financial time series, particularly by employing the concept of path signatures, a universal description of the geometric properties of a data stream who
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::395b61f706b0dd8a0f40f05639fba1f2
https://doi.org/10.3905/jfds.2022.1.109
https://doi.org/10.3905/jfds.2022.1.109
Publikováno v:
SSRN Electronic Journal.
Generative Adversarial Networks (GANs) have been shown to be able to generate samples of complex financial time series, particularly by employing the concept of path signatures, a universal description of the geometric properties of a data stream who
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbe40a66001a9d7cbe89a688a870869c
https://doi.org/10.2139/ssrn.3942764
https://doi.org/10.2139/ssrn.3942764