Search Results - subject:"Machine Learning"

Budgeting for SDGs : quantitative methods to assess the potential impacts of public expenditure

Guariso, Daniele; Castañeda Ramos, Gonzalo; Guerrero, … - In: Development engineering 8 (2023), pp. 1-12

) regression analysis, (2) machine learning techniques, and (3) agent computing. We find that, under the existing data and for this …

Persistent link: https://www.econbiz.de/10014501107

Sustainable finance : the role of savings and credit cooperatives in Ecuador

Segovia-Vargas, María Jesús; Miranda-García, I. Marta; … - In: Annals of public and cooperative economics 94 (2023) 3, pp. 951-980

Persistent link: https://www.econbiz.de/10014337051

Bayesian artificial neural networks for frontier efficiency analysis

Tsionas, Efthymios G.; Parmeter, Christopher F.; … - 2023 - Substantially revised version

Persistent link: https://www.econbiz.de/10015066491

Using supervised machine learning for large-scale classification in management research : the case for identifying artificial intelligence patents

Miric, Milan; Jia, Nan; Huang, Kenneth Guang-Lih - In: Strategic management journal 44 (2023) 2, pp. 491-519

Persistent link: https://www.econbiz.de/10014299701

Using supervised machine learning to scale human-coded data : a method and dataset in the board leadership context

Harrison, Joseph S.; Josefy, Matthew; Kalm, Matias; … - In: Strategic management journal 44 (2023) 7, pp. 1780-1802

Persistent link: https://www.econbiz.de/10014301426

The twin impacts of income inequality and unemployment on murder crime in African emerging economies : a mixed models approach

Zungu, Lindokuhle Talent; Mtshengu, Thamsanqa Reginald - In: Economies : open access journal 11 (2023) 2, pp. 1-21

moments model, the fixed-effect model, and machine learning. These models were chosen due to their ability to address the … crime. Machine learning was adopted to find which socioeconomic issues contribute to crime between the two issues at hand …

Persistent link: https://www.econbiz.de/10014230704

A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis

Rawson, Andrew; Brito, Mario - In: Transport reviews : a transnational transdisciplinary … 43 (2023) 1, pp. 108-130

Persistent link: https://www.econbiz.de/10014231158

A systematic literature review on the application of automation in logistics

Ferreira, Bárbara; Reis, João - In: Logistics 7 (2023) 4, pp. 1-17

-edge technologies such as AI, machine learning, and deep learning, enabling self-problem resolution and autonomous task execution … applications of various automation techniques, including machine learning and deep learning, in the logistics domain. Hence, the …

Persistent link: https://www.econbiz.de/10014454536

Point and risk estimation using an enSemble of models for nowcasting : PRISM-Now

Seo, Beomseok; Cho, Hyungbae; Lee, Dongjae - 2023

Persistent link: https://www.econbiz.de/10014455532

Beyond the hype: unveiling the marginal benefits of 3D virtual tours in real estate

Zhang, Mengxia; Troncoso, Isamar - 2023

Persistent link: https://www.econbiz.de/10014455626