Learning Shared Kernel Models: the Shared Kernel EM algorithm.
Graham W. PulfordPublished in: CoRR (2022)
Keyphrases
- em algorithm
- hidden variables
- parameter estimation
- parameter learning
- expectation maximization
- mixture model
- maximum likelihood
- prior knowledge
- learning algorithm
- probabilistic model
- likelihood maximization
- gaussian mixture model
- kernel function
- generative model
- unsupervised learning
- mixture modeling
- incomplete data
- structured prediction
- likelihood function
- model selection
- supervised learning
- active learning
- mixture distribution
- bayesian framework
- bayesian networks
- maximum likelihood estimation
- image processing
- kernel matrix
- gaussian processes
- support vector
- linear model
- hyperparameters
- feature space
- conditional random fields
- markov random field