Machine Learning Kernel Method from a Quantum Generative Model.
Przemyslaw SadowskiPublished in: CoRR (2019)
Keyphrases
- generative model
- kernel methods
- machine learning
- learning problems
- probabilistic model
- learning tasks
- mixture model
- support vector
- bayesian framework
- support vector machine
- feature space
- em algorithm
- kernel function
- prior knowledge
- reproducing kernel hilbert space
- latent dirichlet allocation
- discriminative models
- topic models
- special case
- active learning
- learning algorithm
- machine learning algorithms
- semi supervised learning
- semi supervised
- model selection
- expectation maximization
- natural language processing
- bayesian inference
- feature selection
- learned models
- computer vision