Xpert MTB/RIF is cost-effective, but less so than expected
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چکیده
منابع مشابه
Erratum: SGDQN is Less Careful than Expected
The SGD-QN algorithm described in (Bordes et al., 2009) contains a subtle flaw that prevents it from reaching its design goals. Yet the flawed SGD-QN algorithm has worked well enough to be a winner of the first Pascal Large Scale Learning Challenge (Sonnenburg et al., 2008). This document clarifies the situation, proposes a corrected algorithm, and evaluates its performance.
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ژورنال
عنوان ژورنال: The Lancet Global Health
سال: 2019
ISSN: 2214-109X
DOI: 10.1016/s2214-109x(19)30159-7