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Filtering by: Creator Ibrahim, Shahana Degree Level Master's

Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms

Creator:

Ibrahim, Shahana

Abstract:

Crowdsourcing is a popular paradigm to address the high demands for labeled data in big data deluge. It aims to produce accurate labels by eﬀectively integrating noisy, non-expert labeling from crowdsourced workers (annotators). The machine learning community has been studying eﬀective crowdsourcing methods for many years, and many models and...

Resource Type:

Masters Thesis