A Semi-supervised Approach for Reject Inference in Credit Scoring Using SVMs

Sebastián Maldonado; Gonzalo Paredes

doi:10.1007/978-3-642-14400-4_43

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A Semi-supervised Approach for Reject Inference in Credit Scoring Using SVMs

Sebastián Maldonado Gonzalo Paredes

Year: 2010 Lecture notes in computer science Pages: 558-571 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-14400-4_43

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Keywords:

Support vector machine Computer science Machine learning Benchmark (surveying) Artificial intelligence Inference Set (abstract data type) Probabilistic logic Training set Data set Labeled data Data mining

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Financial Distress and Bankruptcy Prediction

Social Sciences → Business, Management and Accounting → Accounting

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and Algorithms

Physical Sciences → Computer Science → Artificial Intelligence

A Semi-supervised Approach for Reject Inference in Credit Scoring Using SVMs

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