A deep generative model enables automated structure elucidation of novel psychoactive substances.
Michael A. SkinniderFei WangDaniel PasinRussell GreinerLeonard J. FosterPetur W. DalsgaardDavid S. WishartPublished in: Nat. Mach. Intell. (2021)
Keyphrases
- generative model
- bayesian framework
- hidden variables
- probabilistic model
- em algorithm
- prior knowledge
- mixture model
- feature representations
- semi supervised
- generative and discriminative models
- latent dirichlet allocation
- posterior probability
- multiscale
- visual patterns
- latent structure
- topic models
- expectation maximization
- decision trees
- learning algorithm