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Reducing variance due to importance weighting in covariate shift bias correction

 Van-Tinh Tran , Alex Aussem
European Symposium on Artificial Neural Networks, Apr 2017, Bruges, Belgium
Communication dans un congrès hal-02042795v1
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Correcting a Class of Complete Selection Bias with External Data Based on Importance Weight Estimation

 Van-Tinh Tran , Alex Aussem
22nd International Conference, ICONIP 2015, Nov 2015, Istanbul, Turkey. ⟨10.1007/978-3-319-26555-1_13⟩
Communication dans un congrès hal-01247394v1
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Selection Bias Correction in Supervised Learning with Importance Weight

 Van-Tinh Tran
Artificial Intelligence [cs.AI]. Université de Lyon, 2017. English. ⟨NNT : 2017LYSE1118⟩
Thèse tel-01661470v1
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A Practical Approach to Reduce the Learning Bias Under Covariate Shift

 Van-Tinh Tran , Alex Aussem
ECML PKDD 2015 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2015, Porto, Portugal. pp 71-86, ⟨10.1007/978-3-319-23525-7_5⟩
Communication dans un congrès hal-01213965v1
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