Search Results - subject:"unsupervised machine learning"

Uncovering the identity of electronic markets research through text mining techniques

Nahr, Nora; Heikkilä, Marikka - In: Electronic markets : EM ; the international journal of … 32 (2022) 3, pp. 1257-1277

Persistent link: https://www.econbiz.de/10013463380

Sustainable HRM the next hotspot for management research? : a study using topic modelling

Singh, Shefali; Awasthi, Kanchan; Patra, Pradipta; … - In: International journal of organizational analysis 32 (2024) 9, pp. 1957-1981

Persistent link: https://www.econbiz.de/10015123120

Anchoring and asymmetric information in the real estate market: A machine learning approach

Cheung, Ka Shing; Chan, TszKin Julian; Li, Sijie; Yiu, … - In: Journal of Risk and Financial Management 14 (2021) 9, pp. 1-22

Conventional wisdom suggests that non-local buyers usually pay a premium for home purchases. While the standard contract theory predicts that non-local buyers may pay such a price premium because of the higher cost of gathering information, behavioral economists argue that the premium is due to...

Persistent link: https://www.econbiz.de/10013201107

Anchoring and asymmetric information in the real estate market : a machine learning approach

Cheung, Ka Shing; Chan, TszKin Julian; Li, Sijie; Yiu, … - In: Journal of risk and financial management : JRFM 14 (2021) 9, pp. 1-22

Persistent link: https://www.econbiz.de/10012628358

Data-driven robust optimization using deep neural networks

Goerigk, Marc; Kurtz, Jannis - In: Computers & operations research : and their … 151 (2023), pp. 1-13

Persistent link: https://www.econbiz.de/10014234811

Towards a precise understanding of social entrepreneurship : an integrated bibliometric-machine learning based review and research agenda

Kaushik, Vineet; Tewari, Shobha; Sahasranamam, Sreevas; … - In: Technological forecasting & social change : an … 191 (2023), pp. 1-18

Persistent link: https://www.econbiz.de/10014287759

Stock market forecasting accuracy of asymmetric GARCH models during the COVID-19 pandemic

Caiado, Jorge; Lúcio, Francisco - In: The North American journal of economics and finance : a … 68 (2023), pp. 1-14

Persistent link: https://www.econbiz.de/10014485321

Comparison of deep learning models for multivariate prediction of time series wind power generation and temperature

Mishra, Sambeet; Bordin, Chiara; Taharaguchi, Kota; … - In: Energy Reports 6 (2020) 3, pp. 273-286

Wind power experienced a substantial growth over the past decade especially because it has been seen as one of the best ways towards meeting climate change and emissions targets by many countries. Since wind power is not fully dispatchable, the accuracy of wind forecasts is a key element for the...

Persistent link: https://www.econbiz.de/10012652360

Comparison of deep learning models for multivariate prediction of time series wind power generation and temperature

Mishra, Sambeet; Bordin, Chiara; Taharaguchi, Kota; … - In: Energy reports 6 (2020) 3, pp. 273-286

Persistent link: https://www.econbiz.de/10012183091

Housing prices and property descriptions : using soft information to value real assets

Shen, Lily; Ross, Stephen L. - 2019

Persistent link: https://www.econbiz.de/10012214050