Integrating Gaussian mixtures into deep neural networks: Softmax layer with hidden variables.
Zoltán TüskeMuhammad Ali TahirRalf SchlüterHermann NeyPublished in: ICASSP (2015)
Keyphrases
- hidden variables
- gaussian mixture
- em algorithm
- neural network
- expectation maximization
- activation function
- generative model
- mixture model
- probabilistic model
- maximum likelihood
- gaussian mixture model
- bayesian networks
- pattern recognition
- parameter estimation
- probability density function
- closed form
- hyperparameters
- incomplete data
- covariance matrix
- latent variables
- density estimation
- maximum a posteriori
- bayesian inference
- exponential family
- bayesian framework
- network structure
- outlier detection
- unsupervised learning