To feature space and back: Identifying top-weighted features in polynomial Support Vector Machine models.
Laura E. BrownIoannis TsamardinosDouglas P. HardinPublished in: Intell. Data Anal. (2012)
Keyphrases
- feature space
- support vector machine
- feature vectors
- classification accuracy
- feature set
- svm classifier
- predictive power
- classification models
- mean shift
- kernel function
- feature selection
- high dimensionality
- machine learning
- feature extraction
- prior knowledge
- kernel methods
- learning models
- polynomial kernels
- dimensionality reduction
- k nearest neighbor
- learned models
- training set
- support vector
- lp norm
- probabilistic model
- abstraction levels
- feature values
- image processing
- keypoints
- high dimensional
- image classification
- co occurrence
- multi class