PCS-TL and HC-TL are new transfer learning methods that improve nonparametric Bayesian network learning under scarce data by avoiding negative transfer and using log-linear parameter pooling.
Scott.Multivariate Density Estimation: Theory, Practice, and Visualization
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Transfer learning for nonparametric Bayesian networks
PCS-TL and HC-TL are new transfer learning methods that improve nonparametric Bayesian network learning under scarce data by avoiding negative transfer and using log-linear parameter pooling.