Search Results for author:
Found 2 papers, 1 papers with code
Metadynamics for Training Neural Network Model Chemistries: a Competitive Assessment
At short range, however, these models are data driven and data limited.
Imparo is complete by inverse subsumption
In Inverse subsumption for complete explanatory induction Yamamoto et al. investigate which inductive logic programming systems can learn a correct hypothesis $H$ by using the inverse subsumption instead of inverse entailment.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
