A Simple Method For Estimating Conditional Probabilities For SVMs.
Stefan RüpingPublished in: LWA (2004)
Keyphrases
- conditional probabilities
- support vector
- probabilistic inference
- bayesian networks
- probability distribution
- belief networks
- random variables
- bayesian model
- joint distribution
- probabilistic model
- prior probabilities
- feature selection
- bayesian belief networks
- posterior probability
- network parameters
- support vector machine svm
- main idea consists
- bayesian network structure
- discrete random variables
- class labels
- kernel function
- machine learning
- markov networks
- causal knowledge
- training data
- feature space
- prior distribution
- probability measures
- training set
- graphical models
- max margin
- feature vectors
- knowledge base
- maximum margin
- support vector machine
- data sets