Fragment-based molecular generative model with high generalization ability and synthetic accessibility.
Seonghwan SeoJaechang LimWoo Youn KimPublished in: CoRR (2021)
Keyphrases
- generative model
- generalization ability
- probabilistic model
- learning algorithm
- support vector machine svm
- support vector machine
- bayesian framework
- generalization bounds
- latent dirichlet allocation
- support vector
- ensemble methods
- bp neural network
- topic models
- em algorithm
- expectation maximization
- semi supervised
- prior knowledge
- discriminative models
- neural network
- generative and discriminative models
- hierarchical bayesian model
- image processing
- computer vision
- data mining