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China's missing pigs : correcting China's hog inventory data using a machine learning approach

Shao, Yongtong; Li, Minghao; Hayes, Dermot James; … - 2020

Persistent link: https://www.econbiz.de/10012387933

Support vector machines with evolutionary feature selection for default prediction

Härdle, Wolfgang Karl; Prastyo, Dedy Dwi; Hafner, Christian - 2012

Predicting default probabilities is at the core of credit risk management and is becoming more and more important for banks in order to measure their client's degree of risk, and for firms to operate successfully. The SVM with evolutionary feature selection is applied to the CreditReform...

Persistent link: https://www.econbiz.de/10010318756

Evolutionary Algorithms in a Support Vector Regression Financial Forecasting Model : Case of Continuous Ant Colony Optimization Algorithms

Hong, Wei-Chiang - 2007

Traditional time series forecasting models are difficult to capture the nonlinear patterns. Support vector regression (SVR) has been successfully used to solve nonlinear regression and times series problems. However, parameters determination for a SVR model is competent to the forecasting...

Persistent link: https://www.econbiz.de/10014049169

Composite of Support Vector Regression and Evolutionary Algorithms in Car-Rental Revenue Forecasting

Hong, Wei-Chiang - 2008

In the car-rental industry, it is generally assumed that a 1% increase in price contributes an 8% profit increment. Therefore, pricing is of priority concern in revenue management. Accurately forecasting monthly revenue per unit (RPU) (per car) has received increasing attention owing to its...

Persistent link: https://www.econbiz.de/10014049171

On a strategy to develop robust and simple tariffs from motor vehicle insurance data

Christmann, Andreas - 2004

The goals of this paper are twofold: we describe common features in data sets from motor vehicle insurance companies and we investigate a general strategy which exploits the knowledge of such features. The results of the strategy are a basis to develop insurance tariffs. The strategy is applied...

Persistent link: https://www.econbiz.de/10010516923

A patent search strategy based on machine learning for the emerging field of service robotics

Kreuchauff, Florian Heiko; Korzinov, Vladimir V. - 2015

Emerging technologies are in the core focus of supra-national innovation policies. These strongly rely on credible data bases for being effective and efficient. However, since emerging technologies are not yet part of any official industry, patent or trademark classification systems, delineating...

Persistent link: https://www.econbiz.de/10011342183

Application of machine learning in quantitative investment strategies on global stock markets

Grudniewicz, Jan; Ślepaczuk, Robert - 2021

Persistent link: https://www.econbiz.de/10012816704

Forecasting mid-price movement of bitcoin futures using machine learning

Akyildirim, Erdinc; Cepni, Oguzhan; Corbet, Shaen; … - 2020

Persistent link: https://www.econbiz.de/10013041345

Using polls to forecast popular vote share for US presidential elections 2016 and 2020 : an optimal forecast combination based on ensemble empirical model

Easaw, Joshy Z.; Fang, Yongmei; Heravi, Saeed M. - 2021

predict the decomposition components. The final hybrid model is then constructed by comparing the prediction performance of … individual models, SVM, NN, and ARIMA. In addition, this compared to the single prediction market IOWA Electronic Markets. The … results indicated that the prediction performance of EEMD combined model is better than that of individual models. …

Persistent link: https://www.econbiz.de/10013177191

Classifying businesses by economic activity using web-based text mining

Roelands, Maarten; Delden, Arnout van; Windmeijer, Dick - 2017

Persistent link: https://www.econbiz.de/10011756363

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