Search Results - subject:"neural network"

Telematics combined actuarial neural networks for cross-sectional and longitudinal claim count data

Duval, Francis; Boucher, Jean-Philippe; Pigeon, Mathieu - In: ASTIN bulletin : the journal of the International … 54 (2024) 2, pp. 239-262

Persistent link: https://www.econbiz.de/10015055287

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

Learning to play Sokoban from videos

Fricker, Nicolai Benjamin; Krüger, Nicolai; Schubart, … - 2024

(Edwards et al., 2019; Bruce et al., 2024) to train deep neural network models to play these games. In this work, videos from … train deep neural network models to play Sokoban. These models were further improved with reinforcement learning in …

Persistent link: https://www.econbiz.de/10015069966

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A hands-on machine learning primer for social scientists : math, algorithms and code

Askitas, Nikos - 2024

on a single-hidden-layer artificial neural network, the paper discusses its mathematical underpinnings, including the …

Persistent link: https://www.econbiz.de/10015070152

Noisy market, machine learning and fundamental momentum

Ma, Tian; Sheng, Haoyun; Wang, Yuejie - In: Pacific-Basin finance journal 86 (2024), pp. 1-17

Persistent link: https://www.econbiz.de/10015097365

A transparent alternative to neural networks with an application to predicting volatility

Czasonis, Megan; Kritzman, Mark; Turkington, David - 2024 - This version: September 12, 2024

Persistent link: https://www.econbiz.de/10015101048

A workload prediction model for reducing service level agreement violations in cloud data centers

Nehra, P.; Kesswani, Nishtha - 2024

Cloud computing has become an emerging technology that offers services based on the pay-as-usage model. The cloud provides several advantages, but these advantages come with challenges, such as reducing Service Level Agreement (SLA) violations, efficient resource utilization, reducing energy...

Persistent link: https://www.econbiz.de/10015101921

A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks

Raiaan, Mohaimenul Azam Khan; Sakib, Sadman; Fahad, Nur … - 2024

Convolutional Neural Network (CNN) is a prevalent topic in deep learning (DL) research for their architectural …

Persistent link: https://www.econbiz.de/10015101999

A comparative analysis of machine learning algorithms for detecting COVID-19 using lung X-ray images

Hamal, Susmita; Mishra, Bhupesh Kumar; Baldock, Robert; … - 2024

decision trees (DT), as well as transfer learning models such as Convolutional Neural Network (CNN), Visual Geometry Group (VGG …

Persistent link: https://www.econbiz.de/10015107865

Stock return prediction with multiple measures using neural network models

Wang, Cong - In: Financial innovation : FIN 10 (2024), pp. 1-34

neural network models exhibit consistent performance across diferent stock return measures when they rely solely on frm … insights into the efcacy of neural network models for stock return predictions and contribute to a deeper understanding of the …

Persistent link: https://www.econbiz.de/10014548175

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