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A hybrid machine learning model for forecasting a billing period’s peak electric load days

Saxena, Harshit; Aponte, Omar; McConky, Katie T. - In: International journal of forecasting 35 (2019) 4, pp. 1288-1303

Persistent link: https://www.econbiz.de/10012305279

Hedonic Prices and Colinearity: An Empirical Comparison of Statistical and Neuronal Solutions

Desmet, Pierre - Université Paris-Dauphine (Paris IX) - 2000

relationship for a complex product. The main weakness lies in the use of multiple regression for the evaluation of the coefficients … results. The neuronal approach is globally more successful than PLS regression but neither of the two methods leads to an …

Persistent link: https://www.econbiz.de/10010708261

Machine learning and deep learning-based students’ grade prediction

Korchi, Adil; Messaoudi, Fayçal; Abatal, Ahmed; … - In: Operations research forum 4 (2023) 4, pp. 1-21

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Assessing risk of hospital readmissions for improving medical practice

Kulkarni, Parimal; Smith, L. Douglas; Woeltje, Keith F. - In: Health care management science 19 (2016) 3, pp. 291-299

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Predicting determinants of internet banking adoption : a two-staged regression-neural network approach

Sharma, Sujeet Kumar; Govindaluri, Srikrishna Madhumohan; … - In: Management research review 38 (2015) 7, pp. 750-766

Persistent link: https://www.econbiz.de/10011392453

Predicting hospital admissions to reduce emergency department boarding

Golmohammadi, Davood - In: International journal of production economics 182 (2016), pp. 535-544

Persistent link: https://www.econbiz.de/10011622153

Integrating prediction in mean-variance portfolio optimization

Butler, Andrew; Kwon, Roy H. - In: Quantitative finance 23 (2023) 3, pp. 429-452

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Asset return prediction via machine learning

Zhang, Liangliang - In: Journal of mathematical finance 9 (2019) 4, pp. 691-697

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Predicting community attitudes towards alternative virus-management plans

Wyatt, Ray - In: Journal of urban management 10 (2021) 2, pp. 125-138

sending its users' judgements to the cloud, where learning routines formulate regression- and neural network …

Persistent link: https://www.econbiz.de/10012596425

Daily retail demand forecasting using machine learning with emphasis on calendric special days

Huber, Jakob; Stuckenschmidt, Heiner - In: International journal of forecasting 36 (2020) 4, pp. 1420-1438

Persistent link: https://www.econbiz.de/10012546798