Semi-supervised heterogeneous domain adaptation for few-sample credit risk classification.
Zhaoqing LiuGuangquan ZhangJie LuPublished in: Neurocomputing (2024)
Keyphrases
- domain adaptation
- semi supervised
- co training
- labeled data
- credit risk
- supervised learning
- unlabeled data
- semi supervised learning
- document classification
- class labels
- text classification
- unsupervised learning
- multi view
- support vector
- pairwise
- classification accuracy
- credit risk evaluation
- decision trees
- support vector machine
- neural network
- training set
- machine learning
- pattern recognition
- feature selection
- target domain
- cross domain
- transfer learning
- active learning
- evaluation method
- test data
- classification algorithm
- feature extraction
- text categorization
- feature vectors
- multiple sources
- support vector machine svm
- similarity measure
- data analysis
- credit scoring
- data sets