An Equivalence Between Sparse Approximation And Support Vector Machines.
Federico GirosiPublished in: Neural Comput. (1998)
Keyphrases
- sparse approximation
- support vector
- learning machines
- linear combination
- noise model
- gaussian process
- ls svm
- sparse coding
- kernel function
- convex relaxation
- generalization ability
- support vector machine
- hyperparameters
- feature selection
- probabilistic model
- marginal likelihood
- model selection
- noise level
- binary classification
- convex optimization
- support vectors
- cross validation
- svm classifier
- supervised learning
- least squares