A nonlinear subspace multiple kernel learning for financial distress prediction of Chinese listed companies.
Xiangrong ZhangLongying HuPublished in: Neurocomputing (2016)
Keyphrases
- listed companies
- multiple kernel learning
- empirical analysis
- stock market
- linear combination
- kernel methods
- corporate governance
- credit risk
- kernel learning
- evaluation method
- semi supervised learning
- feature space
- kernel function
- empirical studies
- learning problems
- multiple features
- low dimensional
- dimensionality reduction
- multi task
- binary classification
- principal component analysis
- hyperplane
- knn
- feature selection