A unified formulation of Gaussian vs. sparse stochastic processes - Part II: Discrete-domain theory
Michael UnserPouya Dehghani TaftiArash AminiHagai KirshnerPublished in: CoRR (2011)
Keyphrases
- stochastic processes
- domain theory
- markov processes
- stochastic process
- explanation based learning
- domain knowledge
- random fields
- probability distribution
- inductive learning
- background knowledge
- random variables
- high dimensional
- dynamic bayesian networks
- training examples
- learning algorithm
- sparse representation
- image processing
- markov chain
- co occurrence
- information extraction
- prior knowledge
- training set
- expert systems
- training data
- information retrieval