Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Hector Calvo-Pardo"'
We propose an optimal architecture for deep neural networks of given size. The optimal architecture obtains from maximizing the lower bound of the maximum number of linear regions approximated by a deep neural network with a ReLu activation function.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35f15fe990e757d15d53afa05c099788
https://eprints.soton.ac.uk/477462/
https://eprints.soton.ac.uk/477462/
Environmental Engel curves describe how households' income relates to the pollution associated with the services and goods consumed. This paper estimates these curves with neural networks using the novel dataset constructed in Levinson and O'Brien. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85c48a1015f93d5aa60b34a65e0d4e35
http://zaguan.unizar.es/record/119835
http://zaguan.unizar.es/record/119835
Publikováno v:
Journal of Risk and Financial Management, Vol 15, Iss 6, p 6 (2022)
Journal of Risk and Financial Management; Volume 15; Issue 1; Pages: 6
Journal of Risk and Financial Management; Volume 15; Issue 1; Pages: 6
Exploiting a representative sample of the French population by age, wealth, and asset classes, we document novel facts about their expectations and perceptions of stock market returns. Both expectations and perceptions of returns are very dispersed,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a04334e118e68822830960dbd69531d0
https://hdl.handle.net/10419/258730
https://hdl.handle.net/10419/258730
Publikováno v:
Neural networks : the official journal of the International Neural Network Society. 144
The aim of this paper is to propose a novel prediction model based on an ensemble of deep neural networks adapting the extremely randomized trees method originally developed for random forests. The extra-randomness introduced in the ensemble reduces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11500d3222d291e06d32b5fcef665af1
https://pubmed.ncbi.nlm.nih.gov/34487958
https://pubmed.ncbi.nlm.nih.gov/34487958
Publikováno v:
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
instname
This paper proposes a novel methodology to detect Granger causality on average in vector autoregressive settings using feedforward neural networks. The approach accommodates unknown dependence structures between elements of high-dimensional multivari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7aec3ffa9e56041a4a6aa0e465898bb2
http://zaguan.unizar.es/record/108292
http://zaguan.unizar.es/record/108292
Publikováno v:
Journal of Risk and Financial Management, Vol 13, Iss 265, p 265 (2020)
This paper presents an overview of the procedures that are involved in prediction with machine learning models with special emphasis on deep learning. We study suitable objective functions for prediction in high-dimensional settings and discuss the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b979eb5648c19a9d6d09d2f9e0c8908d
https://www.mdpi.com/1911-8074/13/11/265
https://www.mdpi.com/1911-8074/13/11/265
Publikováno v:
SSRN Electronic Journal.
We propose an optimal architecture for deep neural networks of given size. The optimal architecture obtains from maximizing the minimum number of linear regions approximated by a deep neural network with a ReLu activation function. The accuracy of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c97cc62320882f1da10faaa8104e516
https://doi.org/10.2139/ssrn.3578850
https://doi.org/10.2139/ssrn.3578850
Publikováno v:
SSRN Electronic Journal.
This paper proposes a novel methodology to detect Granger causality in mean in vector autoregressive settings using feedforward neural networks. The approach accommodates unknown dependence structures between the elements of highly-dimensional multiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c262bf6c6ae94076728ab7889f4e0bb
https://doi.org/10.2139/ssrn.3543687
https://doi.org/10.2139/ssrn.3543687
Publikováno v:
SSRN Electronic Journal.
Building on an economic model of rational Bitcoin mining, we measure the carbon footprint of Bitcoin mining power consumption using feed-forward neural networks. After reviewing the literature on deep learning methods, we find associated carbon footp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20f78379e1dd9083ed91179885924e19
https://doi.org/10.2139/ssrn.3647593
https://doi.org/10.2139/ssrn.3647593
Publikováno v:
SSRN Electronic Journal.
Recent research has separately uncovered that stock ownership strongly correlates with both expectations and realizations of stock market returns, as well as with measures of financial literacy, ability or trust. This paper reconciles all, and report
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4823d8a4f6b5e0543a26d63afedcc56
https://doi.org/10.2139/ssrn.2483909
https://doi.org/10.2139/ssrn.2483909