Fetch
Noe, Luis Felipe, Argentine, 1933 · 2010
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About 9,943 papers for “Fetch”
Noe, Luis Felipe, Argentine, 1933 · 2010
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Skinner, Jeffrey · Iowa Research Online (The University of Iowa) · 1999
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Bulletin of Miscellaneous Information (Royal Gardens Kew)
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PICKFORD, JOHN · HighWire Press Open Archive
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Turco, Lewis · The Journal of the Abraham Lincoln Association
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Agarwal, Devansh · Zenodo (CERN European Organization for Nuclear Research) · 2020
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HANNIGAN, D. F. · HighWire Press Open Archive
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Agarwal, Devansh · Zenodo (CERN European Organization for Nuclear Research) · 2020
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Bulletin of Miscellaneous Information (Royal Gardens Kew)
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Norm Catto · Encyclopedia of earth sciences series/Encyclopedia of earth sciences · 2013
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WELFORD, RICHARD · HighWire Press Open Archive
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http://fetchsoftworks.com/ · Bulletin of Miscellaneous Information (Royal Gardens Kew) · 2002
Fetch is one of the best FTP clients on the 'Net. For more detailed information, including on updates, please read the documentation or visit the home page.
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Jack Sears · Bulletin of Miscellaneous Information (Royal Gardens Kew)
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SKEAT, WALTER W. · HighWire Press Open Archive
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Bulletin of Miscellaneous Information (Royal Gardens Kew)
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Merritt, Nancy · Digital Collections (East Carolina University) · 2015
Illustration by Nancy Merritt for Spring 2015 in ART4330. Digital. A digital spot illustration of a corgi playing fetch.
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Bulletin of Miscellaneous Information (Royal Gardens Kew)
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David Bosak · 2023
Contains functions to fetch data from various data sources. The user first creates a catalog of objects from a data source, then fetches data from the catalog. The package provides an easy way to access data from many different types of sources.
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Fletcher, Jerome · Washington State University · 2022
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Steven N. Minton, Sofus A. Macskassy, Peter Lamonica et al. · 2013
This paper describes a system to help intelligence analysts track and analyze information being published in multiple sources, particularly open sources on the Web. The system integrates technology for Web harvesting, natural language extraction, and network analytics, and allows analysts to view and explore the results via a Web application. One of the difficult problems we address is the entity resolution problem, which occurs when there are multiple, differing ways to refer to the same entity. The problem is particularly complex when noisy data is being aggregated over time, there is no clean master list of entities, and the entities under investigation are intentionally being deceptive. Our system must not only perform entity resolution with noisy data, but must also gracefully recover when entity resolution mistakes are subsequently corrected. We present a case study in arms trafficking that illustrates the issues, and describe how they are addressed.
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