Initialising Kernel Adaptive Filters via Probabilistic Inference.
Iván CastroCristóbal SilvaFelipe A. TobarPublished in: CoRR (2017)
Keyphrases
- probabilistic inference
- graphical models
- approximate inference
- bayesian networks
- efficient inference
- influence diagrams
- context specific independence
- belief networks
- weighted model counting
- probabilistic reasoning
- conditional probabilities
- message passing
- elimination algorithm
- support vector
- bayesian belief networks
- exact inference
- bucket elimination
- small number
- belief propagation
- feature space
- training data
- neural network
- multi view
- junction tree
- classification accuracy
- variable elimination
- probabilistic model