The use of hybrid manifold learning and support vector machines in the prediction of business failure.
Fengyi LinChing-Chiang YehMeng-Yuan LeePublished in: Knowl. Based Syst. (2011)
Keyphrases
- manifold learning
- support vector
- nonlinear dimensionality reduction
- learning machines
- low dimensional
- dimensionality reduction
- prediction accuracy
- dimension reduction
- semi supervised
- high dimensional data
- diffusion maps
- high dimensional
- feature extraction
- laplacian eigenmaps
- sparse representation
- manifold structure
- head pose estimation
- feature space
- manifold embedding
- support vector machine
- subspace learning
- manifold learning algorithm
- svm classifier
- kernel function
- feature selection
- low dimensional manifolds
- nonlinear manifold
- data sets
- pattern recognition
- computer vision
- data mining