Optimization of General Statistical Accuracy Measures for Classification Based on Learning Vector Quantization.
Marika KadenWieland HermannThomas VillmannPublished in: ESANN (2014)
Keyphrases
- learning vector quantization
- self organizing maps
- neural network
- classification accuracy
- high accuracy
- special case
- bankruptcy prediction
- optimization algorithm
- computational cost
- confusion matrices
- accuracy rate
- support vector machine svm
- error rate
- maximum entropy modeling
- statistical analysis
- classification rate
- receiver operating characteristic curves
- evaluation measures
- unsupervised learning
- model selection
- optimization problems
- support vector machine
- pairwise
- computational complexity
- pattern recognition