Neural Expectation Maximization.
Klaus GreffSjoerd van SteenkisteJürgen SchmidhuberPublished in: ICLR (Workshop) (2017)
Keyphrases
- expectation maximization
- em algorithm
- network architecture
- mixture model
- probabilistic model
- neural network
- maximum likelihood
- maximum likelihood estimation
- unsupervised learning
- parameter estimation
- gaussian mixture model
- generative model
- artificial neural
- neural architecture
- neural fuzzy
- databases
- neural classifier
- bio inspired
- bayesian framework
- probability density function
- data sets
- nonlinear predictive control
- neural information processing
- associative memory
- gaussian mixture
- maximum a posteriori
- neural model
- model based clustering
- computational intelligence
- reinforcement learning
- multiscale
- computer vision
- computational neuroscience
- evolutionary robotics
- genetic algorithm
- real time