Dec 2, 2017 · In this paper, we propose a novel sparse multi-criteria optimization classifier (SMCOC) based on one-norm regularization, linear and nonlinear programming, ...
In this paper, we propose a novel sparse multi-criteria optimization classifier (SMCOC) based on one-norm regularization, linear and nonlinear programming, ...
Baesens B, Egmont-Petersen M, Castelo R, Vanthienen J (2002) Learning Bayesian network classifiers for credit scoring using markov chain Monte Carlo search.
Sparse multi-criteria optimization classifier for credit risk evaluation. Download. - Download. + Download. Full text for this resource is not available from ...
Sparse multi-criteria optimization classifier for credit risk evaluation. Soft Comput. 23(9): 3053-3066 (2019); 2018. [j10]. view. electronic edition via DOI ...
By finding a trade-off between overlapping of different classes and total distance from input points to the decision boundary, MCOC can derive a decision ...
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Jun 8, 2020 · Section 2 provides an introduction to credit risk assessment, feature selection, and sparse learning and classification models, with reviews and ...
Nov 30, 2023 · In this paper, we put forward a novel two-stage sparse multi-kernel optimization classifier (TSMOC) method under the framework of combining support vector ...
Sparse multi-criteria optimization classifier for credit risk evaluation. Article 02 December 2017. The Study on Risk Rating Model of Commercial Bank Credit ...
By alternately solving two unconstrained quadratic optimization problems or two systems of linear equations, AMSLC can predict the class labels of given ...