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Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale

Labeling training data is one of the most costly bottlenecks in developing machine learning-based applications. We present a first-of-its-kind study showing how existing knowledge resources from across an organization can be used as weak supervision in order to bring development time and cost down b...

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Dades bibliogràfiques
Publicat a:Proc ACM SIGMOD Int Conf Manag Data
Autors principals: Bach, Stephen H., Rodriguez, Daniel, Liu, Yintao, Luo, Chong, Shao, Haidong, Xia, Cassandra, Sen, Souvik, Ratner, Alex, Hancock, Braden, Alborzi, Houman, Kuchhal, Rahul, Ré, Chris, Malkin, Rob
Format: Artigo
Idioma:Inglês
Publicat: 2019
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6879379/
https://ncbi.nlm.nih.gov/pubmed/31777414
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/3299869.3314036
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