Search Results - subject:"Machine Learning"

Validated digital literacy measures for populations with low levels of internet experiences

Ali, Ayesha; Raza, Agha Ali; Qazi, Ihsan Ayyub - In: Development Engineering 8 (2023), pp. 1-14

machine learning methods (e.g., Random Forest) to identify a parsimonious set of survey questions that are most predictive of …

Persistent link: https://www.econbiz.de/10014558413

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/10014558535

Automatic product classification in international trade: Machine learning and large language models

Marra de Artiñano, Ignacio; Riottini Depetris, Franco; … - 2023

States Department of Agriculture (USDA). We find that while traditional machine learning (ML) models tend to perform well …

Persistent link: https://www.econbiz.de/10014563984

Error spotting with gradient boosting: A machine learning-based application for central bank data quality

Burger, Csaba; Berndt, Mihály - 2023

Supervised machine learning methods, in which no error labels are present, are increasingly popular methods for …

Persistent link: https://www.econbiz.de/10014564117

Must social performance ratings be idiosyncratic? An exploration of social performance ratings with predictive validity

Svanberg, Jan; Ardeshiri, Tohid; Samsten, Isak; Öhman, … - In: Sustainability Accounting, Management and Policy Journal 14 (2023) 7, pp. 313-348

methodology for rating the SP component of the ESG by applying machine learning (ML) and artificial intelligence (AI) anchored to …

Persistent link: https://www.econbiz.de/10015006043

Forecasting Indian Goods and Services Tax revenue using TBATS, ETS, Neural Networks, and hybrid time series models

Thayyib, P. V.; Thorakkattle, Muhammed Navas; Usmani, Faisal - In: Cogent Economics & Finance 11 (2023) 2, pp. 1-23

This study focuses on the crucial task of forecasting tax revenue for India, specifically the Goods and Services Tax (GST), which plays a pivotal role in fiscal spending and taxation policymaking. Practically, the GST time series datasets exhibit linear and non-linear fluctuations due to the...

Persistent link: https://www.econbiz.de/10015074646

Greenspan's adherence to the Taylor rule: examining Federal Reserve chairmen policy regimes and deviations from the Taylor rule

Rechard, Kyle; Regmi, Narendra Raj - In: Cogent Economics & Finance 11 (2023) 1, pp. 1-24

evidence to support this claim, and a machine learning text analysis of the Federal Open Market Committee transcripts confirms …

Persistent link: https://www.econbiz.de/10015074811

Efficacies of artificial neural networks ushering improvement in the prediction of extant credit risk models

Aranha, Meera; Bolar, Kartikeya - In: Cogent Economics & Finance 11 (2023) 1, pp. 1-13

The study's objective is to check whether the predictive power of Machine Learning Techniques is better than Logistic …-21, and we attributed it to Covid disruptions. Results show that Machine Learning Techniques are better than Logistic …

Persistent link: https://www.econbiz.de/10015074832

Enabling inter-organizational analytics in business networks through meta machine learning

Hirt, Robin; Kühl, Niklas; Martin, Dominik; Satzger, … - In: Information Technology and Management (2023), pp. 1-25

performance. In this work, we propose a meta machine learning method that deals with these obstacles to enable comprehensive …

Persistent link: https://www.econbiz.de/10015097368

The Impact of Resource Allocation on the Machine Learning Lifecycle

Duda, Sebastian; Hofmann, Peter; Urbach, Nils; Völter, … - In: Business & Information Systems Engineering 66 (2023) 2, pp. 203-219

An organization's ability to develop Machine Learning (ML) applications depends on its available resource base. Without …

Persistent link: https://www.econbiz.de/10015097372