SYSTEMS AND METHODS FOR ROBUST LARGE-SCALE MACHINE LEARNING

The present disclosure provides a new scalable coordinate descent (SCD) algorithm and associated system for generalized linear models whose convergence behavior is always the same, regardless of how much SCD is scaled out and regardless of the computing environment. This makes SCD highly robust and...

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Bibliographische Detailangaben
Hauptverfasser: SU, Bor-Yiing, RENDLE, Steffen, SHEKITA, Eugene, FETTERLY, Dennis Craig
Format: Patent
Sprache:eng ; fre ; ger
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