Optimization of general statistical accuracy measures for classification based on learning vector quantization

22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings

Volumn , Issue , 2014, Pages 47-52

  Kaden, M ^a   Hermann, W ^b   Villmann, T ^a  

^a UNIVERSITY OF APPLIED SCIENCES MITTWEIDA   (Germany)

^b Department of Neurology Paracelsus Hospital Zwickau   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COST FUNCTIONS; LEARNING SYSTEMS; NEURAL NETWORKS;

CLASSIFICATION LEARNING; CORRELATION COEFFICIENT; GENERALIZED LEARNING VECTOR QUANTIZATION; LEARNING VECTOR QUANTIZATION; STATISTICAL ACCURACY; STATISTICAL MEASURES; STATISTICAL QUALITY; TWO-CLASS CLASSIFICATION PROBLEMS;

VECTOR QUANTIZATION;

EID: 84962022990     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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