Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Kawthekar, Prasad"'
Autor:
Liu, Bowen, Ramsundar, Bharath, Kawthekar, Prasad, Shi, Jade, Gomes, Joseph, Nguyen, Quang Luu, Ho, Stephen, Sloane, Jack, Wender, Paul, Pande, Vijay
We describe a fully data driven model that learns to perform a retrosynthetic reaction prediction task, which is treated as a sequence-to-sequence mapping problem. The end-to-end trained model has an encoder-decoder architecture that consists of two
Externí odkaz:
http://arxiv.org/abs/1706.01643
Modern software systems are built to be used in dynamic environments using configuration capabilities to adapt to changes and external uncertainties. In a self-adaptation context, we are often interested in reasoning about the performance of the syst
Externí odkaz:
http://arxiv.org/abs/1704.00234
Autor:
Liu B; Department of Chemistry, Stanford University, Stanford, California 94305, United States., Ramsundar B; Department of Computer Science, Stanford University, Stanford, California 94305, United States., Kawthekar P; Department of Computer Science, Stanford University, Stanford, California 94305, United States., Shi J; Department of Chemistry, Stanford University, Stanford, California 94305, United States., Gomes J; Department of Chemistry, Stanford University, Stanford, California 94305, United States., Luu Nguyen Q; Department of Chemistry, Stanford University, Stanford, California 94305, United States., Ho S; Department of Chemistry, Stanford University, Stanford, California 94305, United States., Sloane J; Department of Chemistry, Stanford University, Stanford, California 94305, United States., Wender P; Department of Chemistry, Stanford University, Stanford, California 94305, United States.; Department of Chemical and Systems Biology, Stanford University, Stanford, California 94305, United States., Pande V; Department of Chemistry, Stanford University, Stanford, California 94305, United States.; Department of Computer Science, Stanford University, Stanford, California 94305, United States.; Department of Structural Biology, Stanford University, Stanford, California 94305, United States.
Publikováno v:
ACS central science [ACS Cent Sci] 2017 Oct 25; Vol. 3 (10), pp. 1103-1113. Date of Electronic Publication: 2017 Sep 05.
