Pages that link to "Item:Q2643984"
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The following pages link to Adaptive credit scoring with kernel learning methods (Q2643984):
Displaying 13 items.
- Adapting a classification rule to local and global shift when only unlabelled data are available (Q319045) (← links)
- Benchmarking state-of-the-art classification algorithms for credit scoring: an update of research (Q319944) (← links)
- Instance-based credit risk assessment for investment decisions in P2P lending (Q320963) (← links)
- Weight-selected attribute bagging for credit scoring (Q473541) (← links)
- Temporally adaptive estimation of logistic classifiers on data streams (Q481919) (← links)
- A new approach for credit scoring by directly maximizing the Kolmogorov-Smirnov statistic (Q1727903) (← links)
- A corporate credit rating model using multi-class support vector machines with an ordinal pairwise partitioning approach (Q1761095) (← links)
- A corporate credit rating model using support vector domain combined with fuzzy clustering algorithm (Q1954637) (← links)
- Corporate and personal credit scoring via fuzzy non-kernel SVM with fuzzy within-class scatter (Q2244240) (← links)
- Advances in credit scoring: combining performance and interpretation in kernel discriminant analysis (Q2418293) (← links)
- Using adaptive learning in credit scoring to estimate take-up probability distribution (Q2497272) (← links)
- Credit scoring with drift adaptation using local regions of competence (Q2677348) (← links)
- FEATURE SELECTION VIA LEAST SQUARES SUPPORT FEATURE MACHINE (Q3503116) (← links)
