2 papers
cs.LG2026
Transfer learning for nonparametric Bayesian networks
Rafael Sojo, Pedro Larrañaga, Concha Bielza
This paper introduces two transfer learning methodologies for estimating nonparametric Bayesian networks under scarce data. We propose two algorithms, a constraint-based structure…
cs.LG2026
Binned semiparametric Bayesian networks for efficient kernel density estimation
Rafael Sojo, Javier DÃaz-Rozo, Concha Bielza +1
This paper introduces a new type of probabilistic semiparametric model that takes advantage of data binning to reduce the computational cost of kernel density estimation in nonpara…