Search Results - subject:"learning algorithms"

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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

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

Women in leadership, skilled workforce, and firm performance in Bangladesh : a machine learning analysis on enterprise survey data

Roy, Chandan Kumar; Basak, Tapati - In: Croatian economic survey 26 (2024) 1, pp. 59-93

traditional ordinary least squares (OLS) regression and machine learning algorithms to analyze the relationship. While the …

Persistent link: https://www.econbiz.de/10015446371

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/10015446633

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

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

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/10015070753

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

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

Bitcoin replication using machine learning

Harris, Richard D. F.; Mazibas, Murat; Rambaccussing, Dooruj - In: International review of financial analysis 93 (2024), pp. 1-9

Persistent link: https://www.econbiz.de/10014543496