The Strength of Weak Learnability
Machine Learning
The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
Hybrid Classifiers for Financial Multicriteria Decision Making: TheCase of Bankruptcy Prediction
Computational Economics
Credit Scoring and Its Applications
Credit Scoring and Its Applications
Credit rating analysis with support vector machines and neural networks: a market comparative study
Decision Support Systems - Special issue: Data mining for financial decision making
A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates
Computers and Operations Research
Editorial: Computationally intelligent agents in economics and finance
Information Sciences: an International Journal
Credit risk assessment with a multistage neural network ensemble learning approach
Expert Systems with Applications: An International Journal
A self tuning model for risk estimation
Expert Systems with Applications: An International Journal
Engineering multiversion neural-net systems
Neural Computation
Neural nets versus conventional techniques in credit scoring in Egyptian banking
Expert Systems with Applications: An International Journal
Real-time credit card fraud detection using computational intelligence
Expert Systems with Applications: An International Journal
Support vector machines for credit scoring and discovery of significant features
Expert Systems with Applications: An International Journal
A new two-stage hybrid approach of credit risk in banking industry
Expert Systems with Applications: An International Journal
Mining the customer credit using hybrid support vector machine technique
Expert Systems with Applications: An International Journal
Managing loan customers using misclassification patterns of credit scoring model
Expert Systems with Applications: An International Journal
A study of Taiwan's issuer credit rating systems using support vector machines
Expert Systems with Applications: An International Journal
A novel support vector machine metamodel for business risk identification
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Credit risk analysis using a reliability-based neural network ensemble model
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Credit risk evaluation with least square support vector machine
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Neural network metalearning for credit scoring
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
A bias-variance-complexity trade-off framework for complex system modeling
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
A new fuzzy support vector machine to evaluate credit risk
IEEE Transactions on Fuzzy Systems
Integrated expert system applied to the analysis of non-technical losses in power utilities
Expert Systems with Applications: An International Journal
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Relevance vector machine based infinite decision agent ensemble learning for credit risk analysis
Expert Systems with Applications: An International Journal
A hybrid device for the solution of sampling bias problems in the forecasting of firms' bankruptcy
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Probabilistic Approaches For Credit Screening And Bankruptcy Prediction
International Journal of Intelligent Systems in Accounting and Finance Management
Expert Systems with Applications: An International Journal
Efficient classifiers for multi-class classification problems
Decision Support Systems
Credit rating using a hybrid voting ensemble
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
Multiple extreme learning machines for a two-class imbalance corporate life cycle prediction
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Ensemble learning for generalised eigenvalues proximal support vector machines
International Journal of Computer Applications in Technology
Assessing scorecard performance: A literature review and classification
Expert Systems with Applications: An International Journal
A survey of multiple classifier systems as hybrid systems
Information Fusion
Hi-index | 12.06 |
In this paper, a four-stage support vector machine (SVM) based multiagent ensemble learning approach is proposed for credit risk evaluation. In the first stage, the initial dataset is divided into two independent subsets: training subset (in-sample data) and testing subset (out-of-sample data) for training and verification purposes. In the second stage, different SVM learning paradigms with much dissimilarity are constructed as intelligent agents for credit risk evaluation. In the third stage, multiple individual SVM agents are trained using training subsets and the corresponding evaluation results are also obtained. In the final stage, all individual results produced by multiple SVM agents in the previous stage are aggregated into an ensemble result. In particular, the impact of the diversity of individual intelligent agents on the generalization performance of the SVM-based multiagent ensemble learning system is examined and analyzed. For illustration, one corporate credit card application approval dataset is used to verify the effectiveness of the SVM-based multiagent ensemble learning system.