Initial Model Selection for the Baum-Welch Algorithm Applied to Credit Scoring-Reference-Cited by-同舟云学术

Initial Model Selection for the Baum-Welch Algorithm Applied to Credit Scoring

Published:2015 Issue: Volume: Page:359-368
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
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Author:

Benyacoub Badreddine,ElMoudden Ismail,ElBernoussi Souad,Zoglat Abdelhak,Ouzineb Mohamed

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-18167-7_31

Reference11 articles.

1. Australian Credit Database, http://ftp.ics.uci.edu/pub/machinelearning-databases/statlog/australian

2. Baesens, B.: Developing intelligent systems for credit scoring using machine learning techniques, Ph.D Thesis, Katholieke Universiteit Leuven (2003)

3. Badreddine, B., Souad, B., Abdelhak, Z., Ismail, E.: Classification with Hidden Markov Model. Applied Mathematical Sciences 8(50), 2483–2496 (2014)

4. Cox, D.R., Snell, E.J.: Analysis of binary data. Chapman & Hall, London (1989)

5. Crook, J.N., Hamilton, R., Thomas, L.C.: A comparison of discriminators under alternative definitions of credit default. In: Thomas, L.C., Crook, J.N., Edelman, D.B. (eds.) Credit Scoring and Credit Control, pp. 217–245. Clarendon, Oxford (1992)

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