Initialising kernel adaptive filters via probabilistic inference.
Iván CastroCristóbal SilvaFelipe A. TobarPublished in: DSP (2017)
Keyphrases
- probabilistic inference
- graphical models
- bayesian networks
- message passing
- influence diagrams
- belief networks
- approximate inference
- weighted model counting
- efficient inference
- conditional probabilities
- probabilistic reasoning
- context specific independence
- support vector
- feature space
- bayesian belief networks
- variable elimination
- elimination algorithm
- data sets
- belief propagation
- higher order
- probability distribution