Adaboost ensemble data classification based on diversity of classifiers

Advanced Materials Research

Volumn 403-408, Issue , 2012, Pages 3682-3687

  Thammasiri, Dech ^a   Meesad, Phayung ^a  

^a KING MONGKUT'S UNIVERSITY OF TECHNOLOGY NORTH BANGKOK   (Thailand)

Author keywords

Adaboost; Artificial neuron network; Decision tree; Ensemble; Support vector machine

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURON NETWORKS; CLASSIFICATION ACCURACY; DATA CLASSIFICATION; ENSEMBLE; ENSEMBLE CLASSIFICATION; ENSEMBLE MEMBERS; LEARNING AGENTS; OPTIMAL ENSEMBLE; RANDOM DATA; SUPPORT VECTOR;

CLASSIFICATION (OF INFORMATION); DECISION TREES; FORESTRY; INTELLIGENT AGENTS; NEURAL NETWORKS; SUPPORT VECTOR MACHINES; TREES (MATHEMATICS);

ADAPTIVE BOOSTING;

CLASSIFICATION; INFORMATION RETRIEVAL; MATHEMATICS; NEURAL NETWORKS;

EID: 83255164528     PISSN: 10226680     EISSN: None     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMR.403-408.3682     Document Type: Conference Paper

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