Bankruptcy prediction using SVM models with a new approach to combine features selection and parameter optimisation
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Publication:5172554
DOI10.1080/00207721.2012.720293zbMath1309.91146OpenAlexW2166996073MaRDI QIDQ5172554
Jerome Yen, Kin Keung Lai, Li-Gang Zhou
Publication date: 4 February 2015
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2012.720293
Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Corporate finance (dividends, real options, etc.) (91G50)
Uses Software
Cites Work
- Feature extraction. Foundations and applications. Papers from NIPS 2003 workshop on feature extraction, Whistler, BC, Canada, December 11--13, 2003. With CD-ROM.
- Bankruptcy prediction in banks and firms via statistical and intelligent techniques -- a review
- Credit scoring using support vector machines with direct search for parameters selection
- Genetic programming and rough sets: a hybrid approach to bankruptcy classification
- Extraction of classification rules characterized by ellipsoidal regions using soft-computing techniques
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