Updating knowledge in feedback-based multi-classifier systems

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn , Issue , 2011, Pages 227-231

  Impedovo, D ^a   Pirlo, G ^a  

^a UNIVERSITY OF BARI   (Italy)

Author keywords

Feedback learning; Multi Expert; Training Sample Selection

Indexed keywords

APPLICATION SCENARIO; COLLECTIVE BEHAVIOR; DATA DISTRIBUTION; DATA SETS; ENSEMBLE OF CLASSIFIERS; FEEDBACK LEARNING; HANDWRITTEN DIGIT; INDIVIDUAL CLASSIFIERS; KNOWLEDGE BASE; MISCLASSIFICATIONS; MULTI-EXPERT; MULTI-EXPERT SYSTEMS; MULTICLASSIFIER SYSTEM; TRAINING SAMPLE SELECTION;

EXPERT SYSTEMS; PROFITABILITY;

PATTERN RECOGNITION SYSTEMS;

EID: 82355182620     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2011.54     Document Type: Conference Paper

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