Search Results - subject:"Learning Algorithms"

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The effects of attention to climate change on carbon, fossil energy and clean energy markets : based on causal network learning algorithms

Liu, Wenwen; Tang, Miaomiao; Zhao, Peng - In: Energy strategy reviews 59 (2025), pp. 1-13

network learning algorithms to systematically quantify the multidimensional dynamic causal effects of climate attention, yield …

Persistent link: https://www.econbiz.de/10015451097

Using machine learning algorithms and the ARIMA model to predict and recognize the determinants of external debts to Egypt

Mater, Mohamed Ahmed Mohamed; Mostafa, Mohammed Galal … - In: Montenegrin journal of economics 21 (2025) 1, pp. 79-90

Persistent link: https://www.econbiz.de/10015609453

Liquidity forecasting at corporate and subsidiary levels using machine learning

Singh, Vinay; Choubey, Bhasker; Sauer, Stephan - In: Intelligent Systems in Accounting, Finance and Management 31 (2024) 3

Liquidity planning and forecasting are essential activities in corporate financial planning team. Traditionally, empirical models and techniques based on in‐house expertise have been used to navigate the numerous challenges of this forecasting activity. These challenges become more complex...

Persistent link: https://www.econbiz.de/10015108133

A comprehensive examination of factors influencing intention to continue usage of health and fitness apps: a two-stage hybrid SEM-ML analysis

Sharma, Vinod; Payal, Ruchi; Dutta, Kirti; Poulose, Jeanne - In: Cogent Business & Management 11 (2024) 1, pp. 1-25

role of potential predictors influencing users’ behavioral intention to continue. The machine learning algorithms were …

Persistent link: https://www.econbiz.de/10015457053

A performance analysis of stochastic processes and machine learning algorithms in stock market prediction

Bouasabah, Mohammed - In: Economies 12 (2024) 8, pp. 1-12

geometric Brownian motion (GBM) models, with that of machine learning algorithms, such as Random Forest, Support Vector Machine …, especially the CIR model. Additionally, this study demonstrated that the metrics of machine learning algorithms are relatively …'s value, which may overestimate their performance. In contrast, machine learning algorithms offer a more flexible approach and …

Persistent link: https://www.econbiz.de/10015469395

Predicting patent quality based on machine learning approach

Erdogan, Zulfiye; Altuntas, Serkan; Dereli, Türkay - In: IEEE transactions on engineering management : EM ; a … 71 (2024), pp. 3144-3157

Persistent link: https://www.econbiz.de/10015405946

Machine learning-driven lending decisions in bank consumer finance

Wang, Xiaoning; Tang, Yi; Quaranta, Anna Grazia - In: International journal of information systems and supply … 17 (2024) 1, pp. 1-19

Persistent link: https://www.econbiz.de/10015433556

Liquidity forecasting at corporate and subsidiary levels using machine learning

Singh, Vinay; Choubey, Bhasker; Sauer, Stephan - In: Intelligent systems in accounting, finance & management 31 (2024) 3, pp. 1-19

Persistent link: https://www.econbiz.de/10015099041

A performance analysis of stochastic processes and machine learning algorithms in stock market prediction

Bouasabah, Mohammed - In: Economies : open access journal 12 (2024) 8, pp. 1-12

Persistent link: https://www.econbiz.de/10015070753

Evaluation of the efficiency and accuracy of the system for collecting and processing EMG signals obtained using a bracelet

Bilyi, Ruslan - In: Technology audit and production reserves 3 (2024) 2/77, pp. 36-40

Persistent link: https://www.econbiz.de/10015076468