Joint Prediction of Continuous and Discrete States in Time-Series Based on Belief Functions.
Emmanuel RamassoMichèle RombautNoureddine ZerhouniPublished in: IEEE Trans. Cybern. (2013)
Keyphrases
- short term prediction
- belief functions
- neural network
- dempster shafer theory
- dempster shafer
- discrete space
- probability function
- continuous domains
- continuous data
- discrete data
- evidential reasoning
- continuous variables
- probability theory
- markov tree
- uncertain reasoning
- continuous action
- set valued
- continuous functions
- combination rule
- uncertain information
- probability measures
- distributive lattices
- information fusion
- computational intelligence
- fuzzy logic
- exponential smoothing
- pattern recognition
- artificial intelligence