A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment · Related work · Methodology.
A machine learning approach combining expert knowledge with ...
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Rule-based methods are rule-extraction algorithms that can be combined with machine learning or/and evolutionary algorithms to build interpretable credit risk ...
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A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment. Pantelis Z. Lappas ...
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Jun 20, 2022 · A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment. Applied Soft ...
A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment. Pantelis Z. Lappas ...
A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment · Pantelis Z. LappasA ...
This study proposes four approaches combining with the SVM (support vector machine) classifier for features selection that retains sufficient information for ...
Dec 17, 2022 · Lappas PZYannacopoulos ANA machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk ...