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AEM: Attentional Ensemble Model for personalized classifier weight learning

  • Published:2019-12 Issue: Volume:96 Page:106976
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Liu Hongzhi,Du Yingpeng,Wu Zhonghai

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference34 articles.

1. Classifier combination based on confidence transformation;Liu;Pattern Recognit.,2005

2. Attribute bagging: improving accuracy of classifier ensembles by using random feature subsets;Bryll;Pattern Recognit.,2003

3. Neighbourhood sampling in bagging for imbalanced data;Baszczyski;Neurocomputing,2015

4. A survey of multiple classifier systems as hybrid systems;Woniak;Inf. Fusion,2014

5. Combining predictions for accurate recommender systems;Jahrer,2010

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