A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables.
Maximilian RixnerPhaedon-Stelios KoutsourelakisPublished in: CoRR (2020)
Keyphrases
- coarse grained
- physical constraints
- supervised training
- fine grained
- unsupervised learning
- conditional random fields
- training phase
- neural nets
- recognition process
- supervised learning
- training algorithm
- high level
- access control
- protein sequences
- dependency parsing
- higher order
- semi supervised
- machine learning
- shared memory
- feature vectors
- feature extraction
- dependency parser
- information retrieval