Results 261 to 270 of about 4,789,872 (297)

Prospective clinical deployment of machine learning in radiation oncology

Nature Reviews Clinical Oncology, 2021
Issam El Naqa
exaly  

Learning Potential Assessment

2020
openaire   +1 more source

Machine learning for microbiologists

Nature Reviews Microbiology, 2023
Francesco Asnicar, Andrew Maltez Thomas, Levi Waldron   +2 more
exaly  

Learning Potential Assessment

2013
Moira Lewis, Courtenay Norbury, Rhiannon Luyster, Lauren Schmitt, Andrea McDuffie, Eileen Haebig, Donna S. Murray, Geralyn Timler, Thomas Frazier, David L. Holmes, Adam Feinstein, Lisa Wiesner, Kimberly Johnson, Peter Doehring, Patricia Prelock, Michele Goyette-Ewing, Evelynne Green, Hilary Boorstein, Harriet Levin, Deborah Fein, Debra Dunn, Michael Levine, Alyse Greer, Cristan Farmer, Jane Hamilton, Cyndi Schumann, Patricia Prelock, Aparna Nadig, Maura Moyle, Claire Plowgian, Jeffrey Glennon, John W. Thomas, Andrew Iskandar, Lee Marcus, Pamela Brucker, Susan Y. Bookheimer, Peter Szatmari, Svein Eikeseth, Svein Eikeseth, Tristram Smith, Winifred Schultz-Krohn, Vannesa T. Mueller, Lawrence David Scahill, Eva Troyb, Deborah Fein   +44 more
openaire   +1 more source

Learning correlated equilibria in potential games [PDF]

, 2000
The paper develops a framework for the analysis of finite n-player games, recurrently played by randomly drawn n-tuples of players, from a finite population. We first relate the set of equilibria of this game to the set of correlated equilibria of the underlying game, and then focus on learning processes modelled as Markovian adaptive dynamics. For the
openaire   +1 more source

Machine learning technology in biodiesel research: A review

Progress in Energy and Combustion Science, 2021
Mortaza Aghbashlo, Wanxi Peng, Meisam Tabatabaei   +2 more
exaly  

Constructing machine learning potentials with active learning

2023
Cheng Shang, Zhi-Pan Liu
openaire   +1 more source

DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models

Computer Physics Communications, 2020
Yuzhi Zhang, Haidi Wang, Weijie Chen
exaly  

Potentials for Learning

Self & Society, 1984
openaire   +1 more source

Learning Potential Assessment Epilogue

2020
J.H.M. Hamers, K. Sijtsma
openaire   +1 more source