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Meta-learning recommendation of default hyper-parameter values for SVMs in classifications tasks
(University of PortoPorto, 2015-09)
Machine learning algorithms have been investigated in several scenarios, one of them is the data classification. The predictive performance of the models induced by these algorithms is usually strongly affected by the ...
Valor adicionado e valor de mercado: uma análise teóricaAdded value and market value: a theoretical analysis
(Universidade Federal de UberlândiaBrasilAdministração, 2021)
Use of a card game tool to capture end users’ preferences and add sustainability value to social housing projects
(ANTAC - Associação Nacional de Tecnologia do Ambiente Construído, 2019)
Parametric VaR with goodness-of-fit tests based on EDF statistics for extreme returns
(2013-11-01)
Parametric VaR (Value-at-Risk) is widely used due to its simplicity and easy calculation. However, the normality assumption, often used in the estimation of the parametric VaR, does not provide satisfactory estimates for ...
Parametric VaR with goodness-of-fit tests based on EDF statistics for extreme returns
(2013-11-01)
Parametric VaR (Value-at-Risk) is widely used due to its simplicity and easy calculation. However, the normality assumption, often used in the estimation of the parametric VaR, does not provide satisfactory estimates for ...
Economic valuation of native forest affected by the North American beaver (Castor canadensis) in Tierra del FuegoValoración económica del bosque nativo afectado por la introducción del castor americano en Tierra del Fuego
(Universidad Austral de Chile, Facultad de Ciencias Forestales y Recursos Naturales., 2017)
The insurance value of forests in supplying climate regulation
(Universidad de Chile, Facultad de Economía y Negocios, 2012)
This brief paper proposes an analytical method for estimating the economic
value of forest ecosystems in supplying climate regulation. If, as argued by several
authors, forests ecosystems serve as hedging against climatic ...