Search Results - subject:"Machine Learning"

Identifying influencing factors and characterizing key issues in urban sustainable development capacity through machine learning

Zhou, Houbo; Gao, Lijie; Shi, Longyu; Lv, Qiuli - In: Chinese journal of population, resources and environment 22 (2024) 3, pp. 291-304

Forest (RF) based on machine learning is proposed for identifying influencing factors and characterizing key issues … identification method based on machine learning and CCD models effectively quantifies influencing factors and key issues in the urban …-RF combination model is generally consistent with the development situations in various cities; and (3) the machine learning …

Persistent link: https://www.econbiz.de/10015179487

Pooling and winsorizing machine learning forecasts to predict stock returns with high-dimensional data

Mekelburg, Erik; Strauss, Jack - In: Journal of empirical finance 79 (2024), pp. 1-25

Persistent link: https://www.econbiz.de/10015179520

Returns to solar panels in the housing market : a meta learner approach

Asproudis, Elias; Gedikli, Cigdem; Talavera, Oleksandr; … - In: Energy economics 137 (2024), pp. 1-12

Persistent link: https://www.econbiz.de/10015181768

Seasonality in deep learning forecasts of electricity imbalance prices

Deng, Sinan; Inekwe, John Nkwoma; Smirnov, Vladimir; … - In: Energy economics 137 (2024), pp. 1-10

Persistent link: https://www.econbiz.de/10015181770

Introduction to the special issue on spatial machine learning

Credit, Kevin - In: Journal of geographical systems : geographical … 26 (2024) 4, pp. 451-460

Persistent link: https://www.econbiz.de/10015182145

Unveiling the impact of machine learning algorithms on the quality of online geocoding services : a case study using COVID-19 data

Kilic, Batuhan; Bayrak, Onur Can; Gülgen, Fatih; … - In: Journal of geographical systems : geographical … 26 (2024) 4, pp. 601-622

Persistent link: https://www.econbiz.de/10015182159

A structured comparison of causal machine learning methods to assess heterogeneous treatment effects in spatial data

Credit, Kevin; Lehnert, Matthew - In: Journal of geographical systems : geographical … 26 (2024) 4, pp. 483-510

Persistent link: https://www.econbiz.de/10015182167

Spatial machine learning for predicting physical inactivity prevalence from socioecological determinants in Chicago, Illinois, USA

Lotfata, Aynaz; Georganos, Stefanos - In: Journal of geographical systems : geographical … 26 (2024) 4, pp. 461-481

Persistent link: https://www.econbiz.de/10015182179

What drives urban redevelopment activity? : evidence from machine learning and econometric analysis in three American cities

Carruthers, John I.; Wei, Hanxue - In: Journal of geographical systems : geographical … 26 (2024) 4, pp. 565-599

Persistent link: https://www.econbiz.de/10015182182

Revealing the risk perception of investors using machine learning

Koelbl, Marina; Laschinger, Ralf; Steininger, Bertram I.; … - In: The European journal of finance 30 (2024) 17, pp. 2032-2058

Persistent link: https://www.econbiz.de/10015323735