Developing an efficient cross validation strategy to determine classifier performance (CVCP)

Proceedings of the International Joint Conference on Neural Networks

Volumn 3, Issue , 2001, Pages 1663-1668

  Van Der Merwe, N T ^a   Hoffman, A J ^a  

^a NORTH WEST UNIVERSITY   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; CONVERGENCE OF NUMERICAL METHODS; MATHEMATICAL MODELS; PATTERN RECOGNITION; PIECEWISE LINEAR TECHNIQUES; REGRESSION ANALYSIS; VECTOR QUANTIZATION;

CROSS VALIDATION STRATEGY; JACK KNIFING; LEAVE ONE OUT CROSS VALIDATION; NEAREST NEIGHBOUR RULE;

SELF ORGANIZING MAPS;

EID: 0034862846     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Neural networks for pattern recognition
2. Pattern recognition and neural networks
3. Pattern recognition
4. Optimization methodologies for direct inverse neurocontrol
5. Prototype selection for composite nearest neighbour classifiers
6. Withdrawing an example from the training set: An analytical estimation of its effect on a non-linear parametrised model