A self tuning model for risk estimation-Reference-Cited by-同舟云学术

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A self tuning model for risk estimation

Published:2008-04 Issue:3 Volume:34 Page:1692-1697
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Elliott Robert J.,Filinkov Alexei

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference7 articles.

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

2. Exact adaptive filters for Markov chains observed in Gaussian noise;Elliott;Automatica,1994

3. Hidden Markov models: Estimation and control;Elliott,1995

4. Construction and assessment of classification rules;Hand,1997

5. An introduction to credit scoring;Lewis,1992

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1. Credit Quality Evaluation on a Dynamic Network with Latent Variables;SN Computer Science;2023-09-15

2. Credit Scoring Model Based on HMM/Baum-Welch Method;Computational Economics;2021-06-10

3. PGSA-BASED LOCALIZATION ALGORITHM FOR WIRELESS SENSOR NETWORK;International Journal on Smart Sensing and Intelligent Systems;2016

4. Initial Model Selection for the Baum-Welch Algorithm Applied to Credit Scoring;Advances in Intelligent Systems and Computing;2015

5. A case-based reasoning model that uses preference theory functions for credit scoring;Expert Systems with Applications;2012-07

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