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Application of systems science in business has lately emerged as an exciting area of applied research. It aims to study the behavior of complex business systems. The present study attempts to converge the two powerful approaches of system approximation in form of artificial neural network and...
Persistent link: https://www.econbiz.de/10012960569
Application of systems science in business has lately emerged as an exciting area of applied research. It aims to study the behavior of complex business systems. The present study attempts to converge the two powerful approaches of system approximation in form of artificial neural network and...
Persistent link: https://www.econbiz.de/10012960678
Persistent link: https://www.econbiz.de/10012699275
Persistent link: https://www.econbiz.de/10011735523
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In this work, we apply cutting edge machine learning algorithms to one of the oldest challenges in finance: Predicting returns. For the sake of simplicity, we focus on predicting the direction (e.g. either up or down) of several liquid ETFs and do not attempt to predict the magnitude of price...
Persistent link: https://www.econbiz.de/10012934913
While Bayesian methods have attracted considerable interest in actuarial science, they are yet to be embraced in large-scaled insurance predictive modeling applications, due to inefficiencies of Bayesian estimation procedures. The paper presents an efficient method that parallelizes Bayesian...
Persistent link: https://www.econbiz.de/10012951368
We drew upon findings from the diffusion literature to assess the prospects for the diffusion of expert systems in forecasting. Forecasters judged potential adoption of expert systems in relation to two techniques that had been widely adopted in the past, Box-Jenkins and scenarios. They also...
Persistent link: https://www.econbiz.de/10014028381
Computerized algorithms for predicting the outcomes of legal problems can extract and present information from particular databases of cases to guide the legal analysis of new problems. They can have practical value despite the limitations that make reliance on predictions risky for other...
Persistent link: https://www.econbiz.de/10013292697
Simulation of the MP behaviour in forward osmosis (FO) membrane-based processes may provide a better understanding and design of the process to facilitate the highest performance. This study explored the feasibility of applying machine learning (ML)–based models to simulate MP behaviour in the...
Persistent link: https://www.econbiz.de/10013303209