Search Results - subject:"Support Vector Machine"

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Evaluation of a FCM-based FSVM classifier using fuzzy idex

Punniyamoorthy, M.; Sridevi, P. - In: International journal of enterprise network management 8 (2017) 1, pp. 14-34

Persistent link: https://www.econbiz.de/10011762357

Analysis of feature selection measures for text categorisation

Amala Bai, V. Mary - In: International journal of enterprise network management 8 (2017) 1, pp. 45-60

Persistent link: https://www.econbiz.de/10011762365

Data-driven models for itinerary preferences of air travelers and application for dynamic pricing optimization

Delahaye, Thierry; Acuna-Agost, Rodrigo; Bondoux, Nicolas; … - In: Journal of revenue and pricing management 16 (2017) 6, pp. 621-639

Persistent link: https://www.econbiz.de/10011854217

Enhancement of fraud detection for narratives in annual reports

Chen, Yuh-jen; Wu, Chun-han; Chen, Yuh-min; Li, Hsin-ying; … - In: International journal of accounting information systems 26 (2017), pp. 32-45

Persistent link: https://www.econbiz.de/10011755158

Bankruptcy prediction using machine learning

Wang, Nanxi - In: Journal of mathematical finance 7 (2017) 4, pp. 908-918

Persistent link: https://www.econbiz.de/10011859939

A new framework of credit scoring system based on support vector machine for credit risk management : evidence from banks and financial institutions

Daneshgar, Farid; Hoseini, Vahid - In: International journal of economic perspectives : IJEP 11 (2017) 3, pp. 557-565

Persistent link: https://www.econbiz.de/10012209372

Credit scoring by fuzzy support vector machines with a novel membership function

Shi, Jian; Xu, Benlian - In: Journal of Risk and Financial Management 9 (2016) 4, pp. 1-10

novel fuzzy support vector machine (SVM) credit scoring model is proposed for credit risk analysis, in which fuzzy …

Persistent link: https://www.econbiz.de/10011843278

Whose balance sheet is this? : neural networks for banks' pattern recognition

León, Carlos; Moreno, José Fernando; Cely, Jorge - 2016

Persistent link: https://www.econbiz.de/10011628908

Estimating Probabilities of Default with Support Vector Machines

Härdle, Wolfgang - 2016

This paper proposes a rating methodology that is based on a non-linear classification method, the support vector … machine, and a non-parametric technique for mapping rating scores into probabilities of default. We give an introduction to …

Persistent link: https://www.econbiz.de/10012989283

Recurrent Support Vector Regression for a Nonlinear ARMA Model with Applications to Forecasting Financial Returns

Chen, Shiyi - 2016

Motivated by recurrent neural networks, this paper proposes a recurrent support vector regression (SVR) procedure to forecast nonlinear ARMA model based simulated data and real data of financial returns. The forecasting ability of the recurrent SVR based ARMA model is compared with five...

Persistent link: https://www.econbiz.de/10012997751

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