Bayesian Nonparametric Crowdsourcing
Crowdsourcing has been proven to be an effective and efficient tool to annotate large data-sets. User annotations are often noisy, so methods to combine the annotations to produce reliable estimates of the ground truth are necessary. We claim that considering the existence of clusters of users in th...
Hlavní autoři: | Moreno, P, Artes-Rodriguez, A, Teh, Y, Perez-Cruz, F |
---|---|
Médium: | Journal article |
Vydáno: |
Journal of Machine Learning Research
2015
|
Podobné jednotky
-
Bayesian nonparametric models for ranked data
Autor: Caron, F, a další
Vydáno: (2012) -
Bayesian nonparametrics for sparse dynamic networks
Autor: Naik, C, a další
Vydáno: (2023) -
Rediscovery of Good–Turing estimators via Bayesian nonparametrics
Autor: Favaro, S, a další
Vydáno: (2015) -
A hierarchical nonparametric Bayesian approach to statistical language model domain adaptation
Autor: Wood, F, a další
Vydáno: (2009) -
Nonparametric Bayesian Logic
Autor: Carbonetto, P, a další
Vydáno: (2005)