Support vector machines for classifying and describing credit applicants: detecting typical and critical regions.
Klaus B. SchebeschRalf SteckingPublished in: J. Oper. Res. Soc. (2005)
Keyphrases
- support vector
- logistic regression
- learning machines
- credit scoring
- large margin classifiers
- detecting anomalies
- generalization ability
- decision trees
- image regions
- region detection
- input image
- cross validation
- binary classification
- loss function
- image features
- kernel function
- homogeneous regions
- support vector machine
- feature selection
- automatic classification
- maximum margin
- keypoints
- geometric structure
- hyperplane
- region of interest
- neural network
- multi class
- computer vision
- real world