Improving XGBoost with Imagination Sampling
2020 ◽
Vol 2
(1)
◽
pp. 3-6
Keyword(s):
Imagination Sampling is the usage of a person as an oracle for generating or improving machine learning models. Previous work demonstrated a general system for using Imagination Sampling for obtaining multibox models. Here, the possibility of importing such models as the starting point for further automatic enhancement is explored.
2018 ◽
Vol 13
(1)
◽
pp. 21
Keyword(s):
2021 ◽
2019 ◽
Vol 7
(6)
◽
pp. 985-990
Keyword(s):
2020 ◽
Vol 8
(10)
◽
pp. 6974-6983
Keyword(s):
2020 ◽
2020 ◽
Vol 22
(10)
◽
pp. 694-704
◽
Keyword(s):