Search Results - subject:"ARTIFICIAL NEURAL NETWORK"

Adapting support vector optimisation algorithms to textual gender classification

Gomez, Javier; Alfaro, Cesar; Ortega, Felipe; Moguerza, … - In: Top : an official journal of the Spanish Society of … 32 (2024) 3, pp. 463-488

Persistent link: https://www.econbiz.de/10015188211

Tuning parameters of deep neural network training algorithms pays off : a computational study

Coppola, Corrado; Papa, Lorenzo; Boresta, Marco; … - In: Top : an official journal of the Spanish Society of … 32 (2024) 3, pp. 579-620

Persistent link: https://www.econbiz.de/10015188220

Scenario selection with LASSO regression for the valuation of variable annuity portfolios

Nguyen, Hang; Sherris, Michael; Villegas, Andrés M.; … - In: Insurance : mathematics and economics 116 (2024), pp. 27-43

Persistent link: https://www.econbiz.de/10015066777

Vice versa : the decoupling of content and topic heterogeneity in collusion research

Schmal, Wolfgang Benedikt - In: Journal of economic surveys 38 (2024) 5, pp. 1686-1730

Persistent link: https://www.econbiz.de/10015156674

Statistical properties of deep neural networks with dependent data

Brown, Chad - 2024

Persistent link: https://www.econbiz.de/10015135185

Predicting mutual fund stress levels utilizing SEBI's stress test parameters in MidCap and SmallCap funds using deep learning models

Maheshwari, Suneel; Naik, Deepak Raghava - In: Risks : open access journal 12 (2024) 11, pp. 1-17

The Association of Mutual Funds of India (AMFI), under the direction of the Securities and Exchange Board of India (SEBI), provided open access to various risk parameters with respect to MidCap and SmallCap funds for the first time from February 2024. Our study utilizes AMFI datasets from...

Persistent link: https://www.econbiz.de/10015135934