Abstract: This work demonstrates the potential of the proposed Bayesian optimization (BO). It is based on neural architecture search (NAS) for the classification of gases/odors for datasets of diverse ...

Abstract: Recently, multi-label learning approaches are gaining more and more attention due to its useful applications in the area of data mining and bioinformatics. Though there exist a lot of ...

We use Bayesian meta-analysis methods to estimate the impact of unconditional cash transfers (UCTs). Aggregating evidence from 115 studies of 72 UCT programs in middle and low income countries, we ...