Old Web
English
Sign In
Acemap
>
Paper
>
Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning
Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning
2019
E. E. O. Ishida
R. Beck
R. Beck
S. González-Gaitán
R. S. de Souza
A. Krone-Martins
Jim W. Barrett
N. Kennamer
Ricardo Vilalta
J.M. Burgess
B. Quint
A.Z. Vitorelli
Ashish A. Mahabal
E. Gangler
Keywords:
Supernova
Proof of concept
Active learning
Sample size determination
Classifier (linguistics)
Astrophysics
Figure of merit
Photometry (optics)
Artificial intelligence
Random forest
Physics
Pattern recognition
Correction
Cite
Save
Machine Reading By IdeaReader
26
References
0
Citations
NaN
KQI
[]