A Bayesian Framework for Regularized SVM Parameter Estimation.
Jens GregorZhenQiu LiuPublished in: ICDM (2004)
Keyphrases
- parameter estimation
- bayesian framework
- expectation maximization
- least squares
- em algorithm
- estimation problems
- ls svm
- support vector
- maximum likelihood
- hyperparameters
- generative model
- posterior distribution
- maximum a posteriori
- markov random field
- prior knowledge
- model selection
- statistical models
- posterior probability
- random fields
- approximate inference
- parameter values
- support vector machine
- probability density function
- gaussian process
- probabilistic model
- parameter estimation algorithm
- feature selection
- feature vectors
- prior distribution
- machine learning
- bayesian formulation
- training set
- parameter estimates
- conditional random fields
- higher order
- training data
- data mining