An aggregate learning approach with a simple interpretable model achieves state-of-the-art or better performance on population disaggregation using ancillary data.
Cartography and Geographic Information Science28(2), 125–138 (2001)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
An aggregate learning approach for interpretable semi-supervised population prediction and disaggregation using ancillary data
An aggregate learning approach with a simple interpretable model achieves state-of-the-art or better performance on population disaggregation using ancillary data.