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Author manuscript, published in Scientometrics (2013) 47-58" EFFICIENT SUPERVISED AND SEMI-SUPERVISED APPROACHES FOR AFFILIATIONS DISAMBIGUATION Pascal CUXAC1, Jean-Charles LAMIREL2 and Valerie BONVALLOT1
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What is hal-00960435 v1 efficient supervised?
hal-00960435 v1 efficient supervised is a document containing information related to efficient supervised learning algorithms and methods.
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Researchers, practitioners, or organizations working with supervised learning algorithms and methods may be required to file hal-00960435 v1 efficient supervised.
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To fill out hal-00960435 v1 efficient supervised, one must provide detailed information about the supervised learning algorithms used, the efficiency of the methods, and any relevant results or findings.
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The purpose of hal-00960435 v1 efficient supervised is to document and share knowledge about efficient supervised learning practices, helping to advance the field and improve algorithm performance.
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Information such as the type of data used, the algorithm parameters, performance metrics, computational resources, and experimental setup must be reported on hal-00960435 v1 efficient supervised.
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