Neural Expectation Maximization.
Klaus GreffSjoerd van SteenkisteJürgen SchmidhuberPublished in: CoRR (2017)
Keyphrases
- expectation maximization
- em algorithm
- mixture model
- parameter estimation
- unsupervised learning
- network architecture
- neural network
- maximum likelihood
- generative model
- probabilistic model
- gaussian mixture model
- neural model
- bio inspired
- nonlinear predictive control
- image segmentation
- maximum a posteriori
- bayesian framework
- probability density function
- neural information processing
- neural fuzzy
- connectionist models
- data sets
- artificial neural
- maximum likelihood estimation
- neural architecture
- knowledge base
- hebbian learning
- k means
- neural computation
- computational neuroscience
- associative memory
- computational intelligence