Adaptative Inference Cost With Convolutional Neural Mixture Models.
Adria RuizJakob VerbeekPublished in: CoRR (2019)
Keyphrases
- mixture model
- network architecture
- gaussian mixture model
- em algorithm
- dirichlet process
- probabilistic model
- variational inference
- generative model
- mixture modeling
- model selection
- density estimation
- unsupervised learning
- bayesian inference
- expectation maximization
- language model
- neural network
- maximum likelihood
- finite mixture models
- sparse coding
- bayesian networks
- automatic model selection
- bayesian information criterion
- finite mixtures
- cost sensitive
- exact inference
- markov chain monte carlo
- gaussian mixture
- log linear models
- semi supervised
- feature vectors
- feature selection
- machine learning