A Unified Loss Function in Bayesian Framework for Support Vector Regression.
Wei ChuS. Sathiya KeerthiChong Jin OngPublished in: ICML (2001)
Keyphrases
- loss function
- bayesian framework
- support vector regression
- support vector
- prior knowledge
- hyperparameters
- pairwise
- hybrid model
- generative model
- regression model
- gaussian process
- logistic regression
- kernel function
- support vector classification
- posterior probability
- support vector machine svm
- support vector machine
- risk minimization
- reproducing kernel hilbert space
- solution path
- empirical risk
- machine learning
- probability density function
- maximum a posteriori
- cross validation
- stochastic gradient descent
- classification accuracy
- expectation maximization
- feature selection
- image reconstruction
- probabilistic model
- data sets