A Unified Formulation of Gaussian Versus Sparse Stochastic Processes - Part II: Discrete-Domain Theory.
Michael UnserPouya Dehghani TaftiArash AminiHagai KirshnerPublished in: IEEE Trans. Inf. Theory (2014)
Keyphrases
- stochastic processes
- domain theory
- markov processes
- stochastic process
- explanation based learning
- inductive learning
- domain knowledge
- probability distribution
- random fields
- background knowledge
- maximum likelihood
- dynamic bayesian networks
- training examples
- sparse representation
- random variables
- case base
- higher order
- inductive logic programming
- information extraction
- high dimensional