Linear and nonlinear associative memories for parameter estimation.
Robert KalabaZe'ev LichtensteinTal SimchonyLeigh TesfatsionPublished in: Inf. Sci. (1992)
Keyphrases
- parameter estimation
- associative memory
- maximum likelihood
- storage capacity
- least squares
- statistical models
- model selection
- em algorithm
- markov random field
- expectation maximization
- parameter estimation algorithm
- alpha beta
- maximum likelihood estimation
- random fields
- neural network
- posterior distribution
- parameter values
- approximate inference
- parameters estimation
- kohonen feature map
- auto associative
- model fitting
- artificial neural networks
- estimation problems
- processing elements
- neural network model
- bayesian model selection