Neural Expectation Maximization.
Klaus GreffSjoerd van SteenkisteJürgen SchmidhuberPublished in: NIPS (2017)
Keyphrases
- expectation maximization
- em algorithm
- network architecture
- maximum likelihood
- probabilistic model
- generative model
- mixture model
- parameter estimation
- neural network
- gaussian mixture model
- image segmentation
- unsupervised learning
- neural information processing
- nonlinear predictive control
- maximum a posteriori
- maximum likelihood estimation
- neural fuzzy
- bio inspired
- learning rules
- neural model
- model based clustering
- hebbian learning
- biologically plausible
- artificial neural
- connectionist models
- gaussian mixture
- k means
- databases
- neural classifier
- evolutionary robotics