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Deus ex machina? : a framework for macro forecasting with machine learning

Bolhuis, Marijn A.; Rayner, Brett - 2020

We develop a framework to nowcast (and forecast) economic variables with machine learning techniques. We explain how machine learning methods can address common shortcomings of traditional OLS-based models and use several machine learning models to predict real output growth with lower forecast...

Persistent link: https://www.econbiz.de/10012251288

A majority vote based classifier ensemble for web service classification

Qamar, Usman; Niza, Rozina; Bashir, Saba; Khan, Farhan … - In: Business & information systems engineering : BISE ; the … 58 (2016) 4, pp. 249-259

Persistent link: https://www.econbiz.de/10011595258

How aesthetics and economy become conversant in creative firms

Austin, Robert D.; Hjorth, Daniel; Hessel, Shannon - In: Organization studies : an international … 39 (2018) 11, pp. 1501-1519

Persistent link: https://www.econbiz.de/10011981612

A Decision Tree and Naïve Bayes algorithm for income tax prediction

Mabe-Madisa, G. V. - In: African journal of science, technology, innovation & … 10 (2018) 4, pp. 401-409

Persistent link: https://www.econbiz.de/10012147376

Selecting classifiers for an ensemble : an integrated ensemble generation procedure

Osei-Bryson, Kweku-Muata - In: Knowledge discovery process and methods to enhance …, (pp. 327-346). 2015

Persistent link: https://www.econbiz.de/10012123358

Predicting mortgage early delinquency with machine learning methods

Chen, Shunqin; Guo, Zhengfeng; Zhao, Xinlei - In: European journal of operational research : EJOR 290 (2021) 1, pp. 358-372

Persistent link: https://www.econbiz.de/10012436411

Evaluating the predictive power of an ensemble model for economic success of Indian movies

Gupta, Samrat; Kumar, Saurabh; Kumar, Pradeep - In: The journal of prediction markets 10 (2016) 1, pp. 30-52

Persistent link: https://www.econbiz.de/10011656562

Modeling Nonlinear Monthly Evapotranspiration Using Soft Computing and Data Reconstruction Techniques

Kim, Sungwon; Singh, Vijay; Seo, Youngmin; Kim, Hung - In: Water Resources Management 28 (2014) 1, pp. 185-206

The objective of this study is to develop soft computing and data reconstruction techniques for modeling monthly California Irrigation Management Information System (CIMIS) evapotranspiration (ET<Subscript>o</Subscript>) at two stations, U.C. Riverside and Durham, in California. The nonlinear dynamics of monthly CIMIS...</subscript>

Persistent link: https://www.econbiz.de/10010997446

Canonical Forest

Chen, Yu-Chuan; Ha, Hyejung; Kim, Hyunjoong; Ahn, Hongshik - In: Computational Statistics 29 (2014) 3, pp. 849-867

We propose a new classification ensemble method named Canonical Forest. The new method uses canonical linear … discriminant analysis (CLDA) and bootstrapping to obtain accurate and diverse classifiers that constitute an ensemble. We note CLDA … original space. To further facilitate the diversity of the classifiers in an ensemble, CLDA is applied only on a partial …

Persistent link: https://www.econbiz.de/10010847811

Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States

Ray, Evan L.; Brooks, Logan C.; Bien, Jacob; … - In: International journal of forecasting 39 (2023) 3, pp. 1366-1383

Persistent link: https://www.econbiz.de/10014465288