PARTITIONING DATA FOR TRAINING MACHINE-LEARNING CLASSIFIERS

Various embodiments relating to partitioning a data set for training machine-learning classifiers based on an output of a globally trained machine-learning classifier are disclosed. In one embodiment, a first machine-learning classifier may be trained on a set of training data to produce a correspon...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	SUSFFALICH MIGUEL, EDMONDS CHRISTOPHER DOUGLAS, LEE KYUNGSUK DAVID, FINOCCHIO MARK J, BALAN ALEXANDRU, SNOW BRADFORD JASON, JEREZ HENRY NELSON, KESKIN CEM
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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