The Projected Belief Network Classfier : both Generative and Discriminative.
Paul M. BaggenstossPublished in: CoRR (2020)
Keyphrases
- belief networks
- discriminative models
- discriminative learning
- discriminative methods
- conditional probabilities
- generative and discriminative models
- generative model
- discriminative training
- bayesian belief networks
- graphical models
- probabilistic inference
- unsupervised learning
- discriminative classifiers
- structured prediction
- probability distribution
- probabilistic reasoning
- semi supervised
- causal independence
- probabilistic model
- feature extraction
- semi supervised learning
- multilayer perceptron
- belief propagation
- random variables
- belief nets
- bayesian networks
- markov logic networks
- maximum likelihood
- stochastic simulation
- variable elimination
- pairwise
- inference in belief networks
- supervised learning
- junction tree
- artificial neural networks
- conditional independence
- active learning