Tutorial on Implied Posterior Probability for SVMs.
Georgi NalbantovSvetoslav IvanovPublished in: CoRR (2019)
Keyphrases
- posterior probability
- support vector
- bayesian networks
- bayesian framework
- generative model
- probability distribution
- multi class
- kernel function
- probability density function
- training set
- posterior distribution
- conditional probabilities
- probabilistic model
- feature selection
- prior probabilities
- knn
- support vector machine
- bayesian formulation
- machine learning
- feature space
- decision boundary
- markov networks
- support vectors
- distance measure
- maximum a posteriori
- training data
- computer vision