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Shallow Self-Learning for Reject Inference in Credit Scoring
First, we propose a self-learning framework for reject inference.
MetaBags: Bagged Meta-Decision Trees for Regression
The proposed method and meta-features are designed in such a way that they enable good predictive performance even in subregions of space which are not adequately represented in the available training data.
Robust Continuous Co-Clustering
Clustering consists of grouping together samples giving their similar properties.
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