Keyphrases
- em algorithm
- back propagation
- expectation maximization
- artificial neural networks
- mixture model
- feed forward
- neural network
- maximum likelihood
- gaussian mixture model
- training algorithm
- feed forward neural networks
- maximum likelihood estimation
- generative model
- bp neural network
- bp algorithm
- parameter estimation
- expectation maximisation
- hidden layer
- weight update
- gaussian mixture
- mixture modeling
- multilayer perceptron
- fuzzy logic
- learning algorithm
- likelihood function
- density estimation
- incomplete data
- activation function
- maximum a posteriori
- maximum likelihood estimates
- finite mixture model
- penalized likelihood
- hidden variables
- model based clustering
- unsupervised learning
- decision making
- learning rate
- levenberg marquardt
- regression model
- probabilistic model