Φορτώνει......
Bayesian active learning for optimization and Uncertainty quantification in protein docking()
Ab initio protein docking represents a major challenge for optimizing a noisy and costly “black box”-like function in a high-dimensional space. Despite progress in this field, there is a lack of rigorous uncertainty quantification (UQ). To fill the gap, we introduce a novel algorithm, Bayesian Activ...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | J Chem Theory Comput |
|---|---|
| Κύριοι συγγραφείς: | , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2020
|
| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7429362/ https://ncbi.nlm.nih.gov/pubmed/32558561 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.jctc.0c00476 |
| Ετικέτες: |
Προσθήκη ετικέτας
Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!
|