An innovative adaptive kriging approach for efficient binary classification of mechanical problems.
Jan Niklas FuhgAmelie FauPublished in: CoRR (2019)
Keyphrases
- binary classification
- multi class
- ordinal classification
- binary classification problems
- multiclass problems
- multi class classification
- cost sensitive
- support vector
- learning problems
- generalization error
- machine learning methods
- data sets
- prediction accuracy
- support vector machine
- lower bound
- image processing
- feature selection
- data mining